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M2090-615 exam Dumps Source : IBM business Analytics Performance Management Sales Mastery Test v2

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IBM IBM business Analytics Performance

Ancestry Adopts IBM Cloud, superior Analytics to find enterprise Insights | killexams.com real Questions and Pass4sure dumps

ARMONK, N.Y., Nov. 8, 2018 /PRNewswire/ -- IBM (NYSE: IBM) announced nowadays that Ancestry LLC, the world's greatest consumer DNA community, has selected IBM Planning Analytics as-a-provider on the IBM Cloud for its business planning and forecasting methods, to bewitch skills of the mixed solution's rapid analytics, scalability and effectivity.

IBM service provider emblem. (PRNewsFoto/IBM enterprise) (PRNewsFoto/) (PRNewsfoto/IBM)

more

Ancestry has helped valued clientele free up hidden insights from ancient records and genomic data considering 1983. today the company boasts more than 10 million AncestryDNA consumers and more than three million subscribers globally.

IBM, along with Data41, a utility developer and integrator of economic planning and reporting techniques, worked with Ancestry to create a high-speed analytics and forecasting reply on the IBM Cloud. With the recent answer, Ancestry can analyze each and every fiscal statistics, from budgeting to labor charges, to the forecasting of subscriptions and income to attend consequence greater advised and strategic enterprise decisions in keeping with the newest insights.

"we've extended abruptly around the world, so they required a gadget that helps their pace of increase," stated Curtis Tripoli, vice chairman, fiscal Planning & analysis, at Ancestry. "The analytics is a comprehensive solution, and because it's on the IBM Cloud they rep the reliability as smartly because the efficiency and scale they were trying to find."

"first rate agencies like Ancestry breathe mindful the value that comes from leveraging advanced technologies like analytics throughout the cloud to enrich issues like performance, scale and effectivity," eminent Greg Adams, vp, IBM company Analytics. "As these agencies develop and scale, Planning Analytics on the IBM Cloud can aid them continue to no longer simplest manage but extract constructive insights from their starting to breathe enterprise."

For extra on this story, hunt counsel from: IBM believe weblog

About IBM Cloud

For more tips visit IBM Cloud.

For more tips talk over with IBM Analytics.           

About Ancestry

Bringing together science, technology and self-discovery, Ancestry's market-main products and functions leverage records and diverse content across family unit background and purchaser genomics to deliver consumers with valuable insights into their lives. In 2017, Ancestry generated greater than $1 billion in income, an annual boost of greater than 30 percent. The business has offered more than 10 million AncestryDNA kits to date, reflecting a one hundred fifteen% 12 months-over-yr boost in income in 2017.

About Data41

Data41 develops company analytics options spanning information source to visualization – assisting agencies without vicissitude organize disparate data to consequence impactful, advised choices. As an IBM Gold companion, Data41's technical and business savvy buddies attend maneuver exciting company targets in corporate efficiency administration so growth selections can breathe based on revise projections and suggestions while improving performance across the commercial enterprise.

Contact

Michael ZimmermanIBM Media Relationsmrzimmerman@us.ibm.com(585) 698-9974 

View common content to down load multimedia:http://www.prnewswire.com/news-releases/ancestry-adopts-ibm-cloud-advanced-analytics-to-find-business-insights-300746513.html


IBM Db2 Analytics Accelerator version 7.1 — efficiency with improved Flexibility | killexams.com real Questions and Pass4sure dumps

companies possess a wealth of helpful records on their enterprise methods. Ideally, selections may still breathe derived from this data as it’s generated to aid today’s true-time business needs. Deriving insight from old-fashioned records can result in sinister fine decisions and doubtlessly perilous actions. This might allow fraud and cyber criminals to bewitch handicap of that statistics and the techniques. It could also consequence in lost earnings through ignored revenue alternatives. similarly, the equal may well breathe spoke of of not being capable of analyze statistics speedy satisfactory.

IBM Db2 Analytics Accelerator for z/OS (Accelerator) can support maneuver each of those challenges. originally, it enables queries to breathe carried out on existing transactional facts with diminutive or no fill an consequence on to operational device performance. Secondly, the Accelerator can work to drastically enrich the performance of applicable queries usually present in analytics purposes.

The Accelerator is designed for top-velocity evaluation of business facts. it will possibly aid cleave back operational cost and complexity by means of bringing the analytics closer to the facts and enabling near precise-time analytics on transactional statistics as it’s generated. The Accelerator transforms the IBM Z platform into a hybrid transaction and analytical processing (HTAP) atmosphere. it may possibly deliver high-pace processing for complicated, aid-intensive Db2 queries to assist enterprise-crucial reporting and analytic workloads.

Flexibility and efficiency with Db2 Analytics Accelerator edition 7.1

The Accelerator has been obtainable for a pair of years and is used by IBM Z consumers throughout many industries to aid speed complicated queries on business-essential statistics, without needing to movement that records to a special platform for analytics. Executing transaction and analytical workloads simultaneously on the identical platform can aid reduce latency while leveraging the protection capabilities of the IBM Z platform. Analytical processing doesn't humble transactional workload performance because transactional and analytical queries are each processed inside separate compute useful resource swimming pools.

As depicted in device #1, the Db2 Analytics Accelerator version 7.1 can provide two deployment alternate options, either on the IBM integrated Analytics tackle (IAS) and/or without delay on the IBM Z mainframe.

determine #1: committed appliance (Accelerator on IAS) or aboriginal on IBM Z (Accelerator on IBM Z) selecting the best option

The Db2 Analytics Accelerator for z/OS edition 7.1 offers the option to set up the figure ingredient that best suits an organization’s necessities:

  • Db2 Analytics Accelerator on IAS enables companies to install on the IBM built-in Analytics device equipment. This pre-configured offering contains hardware (compute, storage, and networking) and utility for effortless deployment, management, and towering efficiency. It also offers protection-wealthy, flexible and elastic facts storage it really is each convenient to installation and control.
  • Db2 Analytics Accelerator on IBM Z allows businesses to deploy without delay on the IBM Z mainframe, within a secure service Container leveraging integrated Facility for Linux (IFL) processors. This permits for deeper integration with the IBM Z infrastructure. This alternative can also offer flexible means to respond to peak analytic workload necessities whereas meeting SLAs. It supports a subset of SQL, executable in Db2 for z/OS. Basing the Accelerator on Db2 Warehouse enables improved consume of the supported SQL because of better SQL compatibility throughout the Db2 household.
  • both deployment alternatives are in line with IBM’s analytical engine, Db2 Warehouse. This helps assure a uniform taste with one API and database engine. It allows for corporations to consequence investments as soon as in enabling their functions and workloads for the Accelerator after which transition simply between deployment options. The IBM Db2 Warehouse provides perquisite here advantages:

  • more desirable SQL compatibility throughout the entire Db2 family of items.
  • Columnar know-how delivering faster performance for many analytic queries than previous models.
  • Containerized approach can facilitate faster, less difficult integration with different technologies and approaches.
  • Deployment on IAS

    IBM Db2 Analytics Accelerator on IAS is a subsequent-era hardware appliance. It offers its components out of the container, including optimized hardware and application. This deployment alternative can provide a balanced, advanced, efficiency-optimized configuration. The hardware contains the rack, the physical servers and storage. it is according to IBM vigour hardware and is optimized for fee/performance. The application stack includes the Linux working device, Docker application, Docker container and infrastructure administration amenities.

    Deployment on IBM Z

    IBM Db2 Analytics Accelerator on IBM Z circumstances will also breathe deployed perquisite now via a down load & straggle method. Deploying the Accelerator on IBM Z applications the application stack into an IBM at ease carrier Container (SSC) rational partition (LPAR). This helps carry a self-managed appliance running in a SSC LPAR that may also breathe deployed in minutes.

    distinctive comfortable carrier Containers can share the identical IFLs. distinctive Accelerators, for this reason, can share the identical hardware supplies. This can breathe beneficial for several creation, and examine/development circumstances, which may well breathe provisioned and re-provisioned as integral.

    The Accelerator on IBM Z integrates into a firm’s IBM Z environment and leverages the regularly occurring LPAR-reminiscence and CPU administration strategies. This approach also leverages the organization’s own disk to shop Accelerator-facet information. This election is for groups that requisite to bewitch expertise of IBM Z facilities for actions reminiscent of catastrophe recuperation and allows for for deeper integration with the IBM Z infrastructure.

    abstract and subsequent Steps

    When precise-time insight matters, IBM Z, along with Db2 for z/OS and the Db2 Analytics Accelerator, can attend deliver a magnificent transaction and analytical ambiance.

    it might assist organizations bewitch expertise of their business statistics the dwelling it originates to work to compel extravagant impact selections whereas minimizing latency, simplifying infrastructure, helping to cleave back the can permeate of such IT infrastructure and enhancing data security. it can aid turn facts into insight, and perception into haphazard to give close actual-time solutions to some of the most vital questions.

    To learn extra about IBM Db2 Analytics Accelerator edition 7.1, click here.

    Stephen Astorino,VP of building, Hybrid Cloud, z Analytics and Canada Lab Director IBM Analytics

    comply with me: @astorino_steven


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    M2090-615 exam Dumps Source : IBM business Analytics Performance Management Sales Mastery Test v2

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    Spreadsheets also topple down when the data isn't well-structured or can't breathe sorted out in trim rows and columns. And, if you fill millions of rows or very sparse matrices, then the data in a spreadsheet can breathe painful to enter and it can breathe arduous to visualize your data. Spreadsheets also fill issues if you are trying to create a report that spans multiple data tables or that mixes in Structured Query Language (SQL)-based databases, or when multiple users try to maintain and collaborate on the identical spreadsheet.

    A spreadsheet containing up-to-the-minute data can also breathe a problem, particularly if you fill exported graphics that requisite to breathe refreshed when the data changes. Finally, spreadsheets aren't worthy for data exploration; trying to spot trends, outlying data points, or counterintuitive results is difficult when what you are looking for is often hidden in a long row of numbers.

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    This is each and every a long-winded way of saw that when businesses consume a spreadsheet, they are actively sabotaging themselves and their ability to consistently rep valuable insights from their data. BI tools are specficially designed to attend businesses better understand their data, and can prove to breathe a huge capitalize to those upgrading from what a limited spreadsheet can do.

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    Defining BI is tricky. When you examine what it does and why companies consume it, it can start to sound vague and nebulous. After all, many different kinds of software offer analytics features, and each and every businesses want to improve. Understanding what a BI is or isn't can breathe unclear.

    BI is an umbrella term meant to cover each and every of the activities necessary for a company to turn raw information into actionable knowledge. In other words, it's a company's efforts to understand what it knows and what it doesn't know of its own actuality and operations. The ultimate goal is being able to multiply profits and sharpen its competitive edge.

    Framed that way, BI as a concept has been around as long as business. But that concept has evolved from early basics [like Accounts Payable (AP) and Accounts Receivable (AR) reports and customer contact and compress information] to much more sophisticated and nuanced information. This information ranges across everything from customer behaviors to IT infrastructure monitoring to even long-term fixed asset performance. Separately tracking such metrics is something most businesses can execute regardless of the tools employed. Combining them, especially disparate results from metrics normally not associated with one another, into understandable and actionable information, well, that's the know-how of BI. The future of BI is already shaping up to simultaneously broaden the scope and variety of data used and to sharpen the micro-focus to ever finer, more granular levels.

    BI software has been instrumental in this steady progression towards more in-depth knowledge about the business, competitors, customers, industry, market, and suppliers, to designation just a few feasible metric targets. But as businesses grow and their information stores balloon, the capturing, storing, and organizing of information becomes too big and knotty to breathe entirely handled by mere humans. Early efforts to execute these tasks via software, such as customer relationship management (CRM) and enterprise resource planning (ERP), led to the formation of "data silos" wherein data was trapped and useful only within the confines of sure operations or software buckets. This was the case unless IT took on the task of integrating various silos, typically through painstaking and highly manual processes.

    While BI software still covers a variety of software applications used to analyze raw data, today it usually refers to analytics for data mining, analytical processing, querying, reporting, and especially visualizing. The main inequity between today's BI software and stout Data analytics is mostly scale. BI software handles data sizes typical for most organizations, from small to large. stout Data analytics and apps maneuver data analysis for very big data sets, such as silos measured in petabytes (PBs).

    Self-Service BI and Data Democratization

    The BI tools that were favorite half a decade or more ago required specialists, not just to consume but also to interpret the resulting data and conclusions. That led to an often inconvenient and fallible filter between the people who really needed to rep and understand the business—the company decision makers—and those who were gathering, processing, and interpreting that data—usually data analysts and database administrators. Because being a data specialist is a demanding job, many of these folks were less well-versed in the actual workings of the business whose data they were analyzing. That led to a focus on data the company didn't need, a misinterpretation of results, and often a series of "standard" reporting that analysts would sprint on a scheduled basis instead of more ad hoc intelligence gathering and interpretation, which can breathe highly valuable in fast-moving situations.

    This problem has led to a growing recent trend among recent BI tools coming onto the market today: that of self-service BI and data democratization. The goal for much of today's BI software is to breathe available and usable by anyone in the organization. Instead of requesting reports or queries through the IT or database departments, executives and decision makers can create their own queries, reports, and data visualizations through self-service models, and connect to disparate data both within and outside the organization through prebuilt connectors. IT maintains overall control over who has access to which tools and data through these connectors and their management tool arsenal, but IT no longer acts as a bottleneck to every query and report request.

    As a result, users can bewitch handicap of this distributed BI model. Key tools and captious data fill moved from a centralized and difficult-to-access architecture to a decentralized model that merely requires access credentials and familiarity with recent BI software. This results in a whole recent benevolent of analysis becoming available to the organization, namely, that of experienced, front-line business people who not only know what data they requisite but how they requisite to consume it.

    The emerging crop of BI tools each and every work arduous at developing front-end tools that are more intuitive and easier to consume than those of older generations—with varying degrees of success. However, that means a key criteria in any BI tool purchasing decision will breathe to evaluate who in the organization should access such tools and whether the tool is appropriately designed for that audience. Most BI vendors witness they're looking for their tool suites to become as ubiquitous and easy to consume for business users as typical business collaboration tools or productivity suites, such as Microsoft Office. zilch fill gotten quite that far yet in my estimation, but some are closer than others. To that end, these BI tool suites tend to focus on three core types of analytics: descriptive (what did happen), prescriptive (what should chance now), and predictive (what will chance later).

    What Is Data Visualization?

    In the context of BI software, data visualization is a rapid and efficient method of transferring information from a machine to a human brain. The faith is to dwelling digital information into a visual context so that the analytic output can breathe quickly ingested by humans, often at a glance. If this sounds like those pie and bar charts you've seen in Microsoft Excel, then you're right. Those are early examples of data visualizations.

    But today's visualization forms are rapidly evolving from those traditional pie charts to the stylized, the artistic, and even the interactive. An interactive visualization comes with layered "drill downs," which means the viewer can interact with the visual to reach more granular information on one or more aspects incorporated in the bigger picture. For example, recent values can breathe added that will change the visualization on the fly, or the visualization is actually built on rapidly changing data that can turn a static visual into an animation or a dashboard.

    The best visualizations execute not hunt artistic awards but instead are designed with duty in mind, usually the quick and intuitive transfer of information. In other words, the best visualizations are simple but powerful in clearly and directly delivering a message. High-end visuals may peer impressive at first glance but, if your audience needs attend to understand what's being conveyed, then they've ultimately failed.

    Most BI software, including those reviewed here, comes with visualization capabilities. However, some products offer more options than others so, if advanced visuals are key to your BI process, then you'll want to closely examine these tools. There are also third-party and even free data visualization tools that can breathe used on top of your BI software for even more options.

    Products and Testing

    In this review roundup, I tested each product from the perspective of a business analyst. But I also kept in mind the viewpoint of users who might fill no familiarity with data processing or analytics. I loaded and used the identical data sets and posed the identical queries, evaluating results and the processes involved.

    My even was to evaluate cloud versions alone, as I often execute analysis on the skim or at least on a variety of machines, as execute legions of other analysts. But, in some cases, it was necessary to evaluate a desktop version as well or instead of the cloud version. One example of this is Tableau Desktop, a favorite tool of Microsoft outstrip users who simply fill an affinity for the desktop tool (and who just straggle to the cloud long enough to share and collaborate).

    I ended up testing the Microsoft Power BI desktop version, too, on a Microsoft representative's recommendation because, as the rep said, "the more robust data prep tools are there." Besides, said the rep, "most users prefer the desktop tool over a web tool anyway." Again, I don't doubt Microsoft's pretense but that does seem weird to me. I've heard it said that desktop tools are preferred when the data is local as the process feels faster and easier. But seriously, how much data is truly local anymore? I suspect this odd desktop tool preference is a bit more personal than fact-based, but to each his own.

    Then there's Google Analytics, a sheer cloud player. The tool is designed to analyze website and mobile app data so it's a different critter in the BI app zoo. That being the case, I had to deviate from using my test data set and queries, and instead test it in its natural habitat of website data. Nonetheless, it's the processes that are evaluated in this review, not the data.

    While I didn't test any of these tools from a data scientist's role, I did mention advanced capabilities when I organize them, simply to let buyers know they exist. IBM Watson Analytics is one tool with the ability to extend to highly advanced features and was also one of the easiest to consume upfront. IBM Watson Analytics is well-suited for business analysts and for widespread data democratization because it requires little, if any, knowledge of data science. Instead, it works well by using natural language and keywords to figure queries, a characteristic that can consequence it valuable to practically anyone. It's highly intuitive, very powerful, and easy to learn. Microsoft Power BI is a strong second as it, too, is powerful while also familiar, certainly to any of the millions of Microsoft business users. However, there are several other powerful and intuitive apps in this lineup from which to choose; they each and every fill their own pros and cons. We'll breathe adding even more in the coming months.

    One thing to watch out for during your evaluations of these products is that many don't yet maneuver streaming data. For many users, that won't breathe a problem in the immediate future. However, for those involved with analyzing business processes as they happen, such as website performance metrics or customer conduct patterns, streaming data can breathe invaluable. Also, the Internet of Things (IoT) will drive this issue in the near future and consequence streaming data and streaming analytics a must-have feature. Many of these tools will fill to up their game accordingly so, unless you want to jump ship in a year or two, it's best to reflect ahead when considering BI and the IoT.

    BI and stout Data

    Another locality in which self-service BI is taking off is in analyzing stout Data. This is a newer progress in the database space but it's driving tremendous growth and innovation. The designation is an apt descriptor because stout Data generally refers to huge data sets that are simply too stout to breathe managed or queried with traditional data science tools. What's created these behemoth data collections is the explosion of data-generating, tracking, monitoring, transaction, and social media tools (to designation a few) that fill become so favorite over the eventual several years.

    Not only execute these tools generate loads of recent data, they also often generate a recent benevolent of data, namely "unstructured" data. Broadly speaking, this is simply data that hasn't been organized in a predefined way. Unlike more traditional, structured data, this benevolent of data is heavy on text (even free-form text) while also containing more easily defined data, such as dates or credit card numbers. Examples of apps that generate this benevolent of data comprehend the customer behavior-tracking tools you consume to see what your customers are doing on your e-commerce website, the piles of log and event files generated from some smart devices (such as alarms and smart sensors), and broad-swath social media tracking tools.

    Organizations deploying these tools are being challenged not only by a sudden deluge of unstructured data that quickly strains storage resources [think beyond terabytes (TB) into the PB and even exabyte (EB) range] but, even more importantly, they're finding it difficult to query this recent information at all. Traditional data warehouse tools generally weren't designed to either manage or query unstructured data. recent data storage innovations such as data lakes are emerging to solve for this need, but organizations still relying exclusively on traditional tools while deploying front-line apps that generate unstructured data often find themselves sitting on mountains of data they don't know how to leverage.

    Enter stout Data analysis standards. The golden standard here is Hadoop, which is an open-source software framework that Apache specifically designed to query big data sets stored in a distributed mode (meaning, in your data center, the cloud, or both). Not only does Hadoop let you query stout Data, it lets you simultaneously query both unstructured as well as traditional structured data. In other words, if you want to query each and every of your business data for maximum insight, then Hadoop is what you need.

    You can download and implement Hadoop itself to execute your queries, but it's typically easier and more efficient to consume commercial querying tools that employ Hadoop as the foundation of more intuitive and full-featured analysis packages. Notably, most of the tools reviewed here, including Chartio, IBM Watson Analytics, Microsoft Power BI, and Tableau Desktop, each and every support this. However, each requires varying levels of configuration or even add-on tools to execute so—with IBM, Microsoft, and Tableau offering exceptionally profound capabilities. However, both IBM and Microsoft will still expect customers to utilize additional tools around aspects such as data governance to ensure optimal performance.

    Finding the perquisite BI Tool

    Given the issues spreadsheets can fill when used as ad hoc BI tools and how firmly ingrained they are in their psyches, finding the perquisite BI tool isn't a simple process. Unlike spreadsheets, BI tools fill major differences when it comes to how they consume data inputs and outputs and maneuver their tables. Some tools are better at exploration than analysis, and some require a fairly steep learning curve to really consequence consume of their features. Finally, to consequence matters worse, there are dozens if not hundreds of such tools on the market today, with many vendors willing to pretense the self-serve BI label even if it doesn't quite fit.

    Getting the overall workflow down with these tools will bewitch some study and discussion with the people you'll breathe designating as users. Tableau Desktop and Microsoft Power BI, for example, will start users out with the desktop version to build visualizations and link up to various data sources. Once you fill this together, you can start sharing those results online or across your organization's network. With others, such as Chartio or Google Analytics, you start in the cloud and stay there.

    In recent years, companies fill been taking handicap of the wide selection of online learning platforms out there to train their employees on using these platforms. As intuitive as these platforms may be, it is notable to consequence sure that your employees actually know how to consume these BI platforms so that you can consequence sure your investment was worthwhile. There are many ways of approaching this, but using the perquisite online learning platform might breathe a worthy dwelling to start looking.

    Given the wide cost orbit of these products, you should segment your analytics needs before you consequence any buying decision. If you want to start out slowly and inexpensively, then the best route is to try something that offers significant functionality for free, such as Microsoft Power BI. Such tools are very affordable and consequence it easy to rep started. Plus, they tend to fill big ecosystems of add-ons and partners that can breathe a cost-effective replacement for doing BI inside a spreadsheet. Tableau Desktop still has the largest collection of charts and visualizations and the biggest colleague network, though both IBM Watson Analytics and Microsoft Power BI are catching up fast.

    IBM Watson Analytics scored the highest, and Microsoft Power BI and Tableau Desktop scored the next highest in their roundup. However, each and every three products received their Editors' election award. Tableau Desktop may fill a stout cost tag depending on which version you choose but, as previously mentioned, it has an exceptionally big and growing collection of visualizations plus a manageable learning curve if you're willing to devote some application to it. Microsoft Power BI and Tableau Desktop also fill big and growing collections of data connectors, and both Microsoft and Tableau fill their own sizable communities of users that are vocal about their wants and needs. This can carry a lot of weight with the vendors' progress teams so it's a worthy faith to spend some time looking through those community forums to rep an faith where these companies are headed.

  • Pros: Extremely user-friendly. grotesque automatic report generation. Impressive support availability.

    Cons: Automated reports can quickly become defaults. Steep learning curve that might confuse beginners.

    Bottom Line: Zoho Reports is a solid option for universal business users who might not breathe knowledgeable in analytics software. It's also available at an attractive price.

    Read Review
  • Pros: Accessible user interface. Smart guidance features. Impressively rapid analytics. Robust natural language querying.

    Cons: Unable to execute real-time streaming analytics.

    Bottom Line: IBM Watson Analytics is an exceptional business intelligence (BI) app that offers a strong analytics engine along with an excellent natural language querying tool. This is one of the best BI platforms you'll find and easily takes their Editors' election honor.

    Read Review
  • Pros: Extremely powerful platform with a wealth of data source connectors. Very user-friendly. Exceptional data visualization capabilities.

    Cons: Desktop and web versions divide data prep tools. Refresh cycle is limited on free version.

    Bottom Line: Microsoft Power BI earns their Editors' election reverence for its impressive usability, top-notch data visualization capabilities, and superior compatibility with other Microsoft Office products.

    Read Review
  • Pros: huge collection of data connectors and visualizations. User-friendly design. Impressive processing engine. age product with a big community of users.

    Cons: plenary mastery of the platform will require substantial training.

    Bottom Line: Tableau Desktop is one of the most age offerings on the market and that shows in its feature set. While it has a steeper learning curve than other platforms, it's easily one of the best tools in the space.

    Read Review
  • Pros: Bottlenecks are eliminated thanks to in-chip processing. Impressive natural language query in third-party applications.

    Cons: Might breathe too difficult for self-service business intelligence (BI). Analytics process still needs to breathe ironed out. Natural language capability can breathe limited.

    Bottom Line: Sisense is a complete platform that should breathe favorite for experienced BI users. It may topple short for beginners, however.

    Read Review
  • Pros: Wide orbit of connectors. Impressive sharing features. Limitless data storage.

    Cons: User interface is not intuitive. Steep learning curve. Unwelcoming to recent analysts.

    Bottom Line: Domo isn't for newcomers but for companies that already fill business intelligence (BI) taste in their organization. Domo's a powerful BI tool with a lot of data connectors and solid data visualization capabilities.

    Read Review
  • Pros: Exceptional platform for website and mobile app analytics.

    Cons: Customer support has way too much automation. Focus on marketing and advertising can breathe frustrating to users. Relies mostly on third parties for training.

    Bottom Line: Due to its brand recognition and the fact that it's free, Google Analytics is the biggest designation in website and mobile app intelligence. It has a steep learning curve but it is an awesome business intelligence tool.

    Read Review
  • Pros: Designed with universal business users in mind. Solid revert on investment.

    Cons: The data you can consume is limited. Needs additional platform to connect.

    Bottom Line: The Salesforce Einstein Analytics Platform is designed for customer, sales, and marketing analyses, although it can server other needs, too. Its powerful analytics capabilities along with its solid natural language querying functionality and a wide array of partners consequence it an attractive offering.

    Read Review
  • Pros: Real-time analytics for Internet of Things (IoT) and streaming data features. Massive ecosystem with plenteous extenders. Responsive pages consequence mobile publishing easiest. Impressive storytelling paradigm. Centralized view with consolidated analytics.

    Cons: Data prep features are lacking. Confusing toolbar design. Not friendly for beginners.

    Bottom Line: If your business already uses SAP's HANA database platform or some of its other back-end business platforms, then SAP Analytics Cloud is a powerful, well-priced choice. But breathe warned that there's a steep learning curve and a eminent dependence on other SAP products for plenary functionality.

    Read Review
  • Pros: Impressive processing engine. Powerful query optimization on SQL. Entirely web-based. knotty queries are handled very well.

    Cons: Poorly designed user interface. Steep learning curve.

    Bottom Line: Chartio excels at pile a powerful analytics platform that experienced business intelligence (BI) users will appreciate. Those recent to BI, however, will find it very difficult to use.

    Read Review
  • Pros: Very profound SQL modeling ability. Uses Git for version management and collaboration.

    Cons: Very expensive. Not for small teams.

    Bottom Line: Looker is a considerable self-service business intelligence (BI) tool that can attend unify SQL and stout Data management across your enterprise.

    Read Review
  • Pros: Custom access roles. Solid collection of public data online.

    Cons: knotty pricing is a deterrent.

    Bottom Line: Qlik Sense Enterprise Server is a self-service business intelligence (BI) tool that delivers the best collection of user access roles among the BI tools they tested, and also demonstrates a promising start towards integrating Data-as-a-Service (DaaS).

    Read Review
  • Pros: One of the largest collections of data connectors. Many granular access roles.

    Cons: No free trial available. Training webinars can breathe costly.

    Bottom Line: The company's Focus query language is showing its age but Information Builders' self-service business intelligence (BI) tool WebFocus nevertheless has some powerful analysis features.

    Read Review
  • Pros: Very easy to rep started. Nice team management and collaboration features.

    Cons: The cloud version has a subset of features organize in Windows version. Online documentation could breathe improved.

    Bottom Line: While Tibco is still making the transition from a desktop to a cloud software vendor, its self-service business intelligence (BI) tool Tibco Spotfire is a considerable way to start visualizing your outstrip data.

    Read Review
  • Pros: Excellent analytical support for Intuit QuickBooks. Very easy setup.

    Cons: Installation and setup is a bit of chore. No support for Intuit QuickBooks' online versions.

    Bottom Line: Clearify QQube is the best self-service business intelligence (BI) tool for in-depth analysis of your Intuit QuickBooks files, though you'll requisite to peer elsewhere for broader BI tasks.

    Read Review

  • ISC West Daily Report | killexams.com real questions and Pass4sure dumps

    Day one

    On Tuesday, I attended the annual DMP Owners Forum, which is “one the ways they present their gratitude to their dealers,” Jon Adams, DMP dealer progress manager, told a latitude plenary of DMP’s top 100 dealers.

    This year’s speakers included Major Gen. (Ret.) Vincent Boles, who shared the wisdom he has gained throughout his military career, as well as some of his views on what makes a honest leader. Boles gave out his book—4-3-2-1 Leadership: What America’s Sons and Daughters Taught Me on the Road from Second Lieutenant to Two-Star General—to each and every attendees. The other featured speaker was former Southwest Airlines senior even leader, Jason Young, author of the books The Culturetopia consequence and Servicetopia.

    Attendees also learned how DMP is giving dealers access to recent markets through a variety of recent platforms, including DMP’s CompanyStore, which enables dealers to participate in the DIY marketplace; Secura, a recent high-volume residential dealer program; OnDemand Monitoring, a recent revenue generator for dealers to offer to consumers that don’t want to sign long term contracts; and recent avenues in home automation, including integration with AppleTV, Amazon resound and Google Home.

    DMP executive management also featured sessions on recent technology that will breathe available this summer, including previews of the DMP’s Gunshot Detector that goes on Existing DMP XR Series panels and DMP’s recent Doorbell Camera, which tag Hillenburg, DMP’s executive director of marketing, said is “deeply integrated” and will “provide recent highly sought after functionality to the existing DMP Virtual Keypad, App and control panel family."

    Jeff Britton, DMP’s VP of product design, also walked attendees through DMP’s Tech App Platform, which was “developed to save time on recent installs and service calls and really to liquidate some of the service calls you are having to consequence today. The platform will continue to grow because they feel there are a lot of things that your techs should breathe able to execute perquisite from their phone or their tablet.”

    Day Two

    On Wednesday, I began my day at Axis Communications’ 10th annual press breakfast. With the theme of “The Magic of IoT,” Fredrik Nilsson, VP Americas, and Martin Gren, founder, who were both dressed as magicians—you gotta like these guys!—talked about how the company plans to bring the identical innovation and “magic” that it brought to camera technology to other products, such as its Network Speakers, which consequence up an integrated audio system that is exemplar for retail settings. Axis also teamed up with Cognimatics to develop analytic capabilities for its honest View People Counter, which is also exemplar for retail environments, providing valuable business intelligence data.

    Gren also provided a preview of its newest technology—the AXIS D2050-VE Network Radar Detector, an outdoor motion detector with radar technology that can provide cost-efficient perimeter protection and abate groundless alarms. The Company is also previewing at ISC West a selection of products that will breathe launched later this year, including recent towering resolution fixed domes in AXIS M30 Series, AXIS P32 Series, and AXIS Q35 Series. Axis also unveiled its AXIS FA Series with modular cameras for highly discreet, cost-efficient video surveillance, and three recent additions to AXIS P13 Series that offer 4K resolution in plenary frame rate and that enable coverage of big areas with towering image detail.

    Following the breakfast I headed to the present floor, which was abuzz with towering traffic and early indicators point to a record year in terms of attendance for this year’s show.

    My first booth visit was at Legrand, a global specialist in electrical and digital pile infrastructures. Manny Linhares, director of strategy, IoT, told me about Eliot, a Legrand global IoT program, that “brings the plight of interoperability, providing the pile blocks and infrastructure to enable IoT and bring connectivity to where it is needed.”

    Moving to the Qolsys showcase room, I was able to test drive the company’s second generation panel, which is sleeker and more powerful with some very frigid recent capabilities. Kevin Woodworth, director of technical account management, pointed out that the panel is the culmination of “all of the lessons they learned from their first panel, and what they learned from dealer feedback.” The panel has a 7-inch HD touchscreen with built-in 5MP camera and multiple wireless radios, as well as LTE connectivity, advanced encryption, a built-in router, a glass smash detector, dual path connectivity and Bluetooth disarming, to designation just a few of the upgrades.

    Over at the FLIR Systems booth, I was given a demo of the FLIR United VMS 8.0, the latest version of the company’s comprehensive, enterprise-level video management solution for managing video security operations. The company introduced three high-performance security cameras, including the FLIR PT-Series HD thermal and visible camera system, the FLIR Quasar 4K fixed box camera, and the FLIR Ariel 3MP (3-megapixel) corner camera. each and every three cameras integrate with FLIR United VMS 8.0 and expand the company’s end-to-end line of security solutions. I also got a demo of the company’s Cameleon command and control platform.

    At the Interlogix booth, the company was highlighting TruVision Navigator 7, the latest release of its favorite video management software. TruVision Navigator 7 now works seamlessly with Interlogix TruPortal access control systems and IFS network switches, allowing quit users to manage their entire security system from one single, easy-to-use interface.

    This year’s ASSA ABLOY Press Event focused on “Security in the IoT Age,” and Martin Huddart, president, looked at how IoT will touch security. He aptly pointed out, “We are producing data, not products today,” noting that the key as they straggle forward as an industry is “bringing each and every these devices together.”

    Next, I caught up with Denis Hebert, president, Feenics, a provider of cloud-based access control solutions. The company launched its enterprise preserve by Feenics platform that delivers scalability, flexibility and advanced security. The recent cloud-based access control as service (ACaaS) platform integrates aboriginal visitor management, and incorporates RESTful API that dramatically simplifies integrating complementary systems plus connecting preserve to applications outside of the organization. Built specifically for the cloud and hosted by Amazon Web Services, preserve significantly minimizes costs through simple, maintenance-free upgrades and patches. 

    At the LifeSafety Power booth, Joe Holland, vice president of engineering, gave me a glimpse into how the company continues to “innovate the category of power,” with recent predictive analytics and captious reporting capabilities. The company announced a breakthrough in connecting quick-witted power management analytics to leading software manufacturers directly through real Mercury Security hardware.  “This truly enhances and expands the potential for systems integrators to offer remote power management to customers who will capitalize from predictive analysis and minute reporting on the health and well-being of their solutions,” said Holland.

    I also met with Glen L. Smith, director, dealer operations, ADT, who told me about the considerable strides the ADT Dealer Program has made in the past year alone. In the locality of support for dealers, the company went from a net promoter score of -9 to 76 in just 18 months. How did they execute this? “We asked their dealers what was broken,” said Smith, who eminent that response time was a stout issue for dealers. In response to this concern, Smith said they went from a two-hour hold time to a zero hold time in just one year.

    At the Bosch Security Systems booth, the company featured a completely recent portfolio of IP cameras and video analytics that extend surveillance beyond security, services that create recurring monthly revenue opportunities for dealers, and an all-in-one wireless multi-sensor that can breathe configured as a door/window contact, water or tilt sensor. Bosch also introduced In-Store Analytics, a solution to provide retailers with valuable insights on store traffic for improving operations, customer appointment and sales.

    At the Alarm.com booth, Brian Lohse, director, commercial sales, talked about the company’s strategy to bewitch what it has been doing on the residential side and bring that to the SMB space. On the residential side, the company’s open platform continues to expand integrations with a broad orbit of devices to attend its dealer partners extend their footprint in the smart home. Alarm.com has also extended 4G LTE communications capabilities.  In addition, Alarm.com highlighted its business Intelligence service that helps its dealer partners lower attrition by analyzing data points.

    Next, I caught up with Jeff Whitney, VP of marketing for Arecont Vision, who went over some of the stout announcements for the company at the show, including Arecont Vision SNAPstream bandwidth reduction technology that supports multiple recent and existing megapixel cameras; SurroundVideo Omni G3 Omnidirectional multi-sensor cameras with remote setup; Arecont Vision Compact MicroBullet indoor/outdoor, day/night megapixel camera; and Arecont Vision MicroDome G2 with Integrated IR indoor/outdoor day/night ultra-low profile megapixel camera.

    At the Pelco by Schneider Electric booth, Sharad Shekhar, CEO, Pelco SVP, video line of business, and Diane Feliciano, VP, global marketing, spoke about how the company has spent the eventual 12-18 months “transforming and repositioning the company” for the future. “We fill been making changes across the entire organization for the eventual pair of years, from technology developments to recent sales, support and operations programming,” said Feliciano. Pelco also showcased several recent and enhanced products and systems, including its VideoXpert Video Management System (VMS); Sarix Enhanced IP Cameras with preloaded analytics on every model; ExSite Enhanced Explosion-Proof Cameras; and Optera Panoramic Multi-Sensor Cameras.

    I finished my day with a visit to the Altronix booth, where Kirby Han, know-how director, took me through the company’s latest upgrades and recent products, including its recent NetWay Spectrum Fiber Solutions, its eBridge 800E EoC Receiver with Integral PoE Switch and its expanded NetWay Line with recent managed midspans and endspans.

    Day Three

    I started day three at the Allegion Trends Talk breakfast, where I was able to speak with Rob Martens, futurist and VP, strategy & partnerships, about how the company is leveraging the latest technologies to provide the best solutions for customers. “I am the tip of the spear when it comes to recent technology,” he said. “I create the chaos that the company has to deliver on.” Product wise, the company’s Engage platform is expanding to comprehend many more products, “so that even of connectivity is now getting rolled out and becoming a reality.”

    At the Genetec booth, I spoke with Andrew Elvish, VP, marketing and product management, about the success of the company’s Mission Control system, which he said is “a game changer,” as the decision support system provides organizations with heightened levels of situational intelligence, visualization, and complete incident management capabilities. He also pointed to how the company’s Retail Intelligence application provides business intelligence and operational efficiencies. The company also highlighted the latest capabilities of its Synergis access control system, share of its Security seat unified offering.

    At the AMAG Technology booth, I met company president Kurt Takahashi, and spoke with Kim Rahfaldt, public relations manager. The company unveiled Symmetry CONNECT, its recent policy-based identity management system that delivers an easy to use, automated software platform to manage employee, contractor and visitor identities, fill regulatory audit and compliance requirements and reduce the administrative costs of the security team. When used with Symmetry Access Control, organizations fill a robust identity management system that utilizes data to secure people, property and assets, and automates business processes for better operational efficiency.

    At the HID Global booth, I spoke with Anthony Petrucci, director of global public relations and corporate communications, about the company’s recent indoor Location Services for workforce optimization, which won the SIA recent Product Showcase award. The Location Services provide organizations with visibility into the location of their workforce in a facility, making it feasible to analyze latitude usage for better pile management and increased operational efficiency. He also spoke about how the company is leveraging Bluetooth low energy (BLE) for recent and emerging applications in the connected environment, as well as the role of mobile access, advanced smart card technology and biometrics in the company’s overall strategy.

    At the Milestone booth, I spoke with Courtney Dillon Pederson, communications manager, about the company’s strategic alliance with Lenel, which will initiate selling Milestone Systems Video Management Software (VMS) solutions directly through the Lenel Value Added Reseller (VAR) channel in North America. “We are really excited about this partnership and believe this is a considerable combination,” she said, noting that this alliance will reduce the total cost of ownership for users.

    I next visited the Eagle Eye Systems/Brivo booth, and sat down with Dean Drako, president and CEO for Eagle Eye, who shared his views on the “continued adoption of cloud.” He also talked about the technology partnership with Hikvision to deliver customers a seamless and cybersecure cloud video surveillance solution. Eagle Eye also highlighted that is has added Camera Cyber Lockdown to each and every its products, which blocks cameras from communicating with the Internet, stops them from being attacked and compromised. Drako also spoke about the company’s implementation of two-factor authentication, which “will breathe the standard for the industry moving forward.”

    At the IDIS booth, I was able to sit down with company president and COO Albert Ryu, who shared his views on how the company is poised to leverage technology to provide the customized solutions for customers. He also spoke about how the company, which is celebrating 20 years, is “bringing AI to security.” On the product side, the company featured H.265 IPC/NVR products, including the recent IDIS 12MP Super Fisheye Camera. also featured were recent low light and long distance solutions, and end-user focused enhancements to the company’s award-winning PTZ tracking controls, IDIS Smart UX Controls v2.0 and retail analytics/business intelligence suite IDIS VA in the Box. The company also highlighted its powerful 64-channel IDIS DR-8364 NVR, which delivers enterprise-level performance at an NVR price. Moving over to the Hanwha Techwin booth, Miguel Lazatin, director of product and channel marketing, North America, walked me through each and every of the recent features and capabilities of the Wisenet 5 chip, which was unveiled recently. The recent chip powers the Wisenet X series, a recent product line that features 27 models split up between 2MP and 5MP camera lines. Features comprehend 150dB WDR performance and clear images in extreme low light conditions, convenient USB port is also available for easy setup and installation, as well as license-free audio and video analytics, dual SD card slot for increased onboard storage and image stabilization using gyro sensors. The company also announced that it is investing $100 million to create a security-only manufacturing facility in Vietnam.

    Next, Dahua product marketing manager Jennifer Hackenburg, gave me a tour of the booth, showing me how the company is embracing “deep learning,” pointing out that the company is “ahead of the curve” in leveraging each and every of the enhanced capabilities that profound learning can provide. The company announced that it is working with NVIDIA to bring simulated intelligence (AI) functionality to its next-generation profound learning products. Equipped with NVIDIA GPUs, the Dahua DeepSense advanced high-capacity video analytics server provides profound learning capabilities. The technology delivers a powerful, scalable method of extracting flush metadata and processing structural data to deliver rapid and accurate analytics. Dahua also announced that Movidius’ Myriad 2 Vision Processing Unit (VPU) technology will power select Dahua video surveillance cameras with advanced intelligence functions that train the devices to gather, analyze, and retain information much like the human brain.

    I next visited with Jim Hoffpauir, president, Zenitel, at the Vingtor Stentofon booth. He showed me how the company’s Turbine Intercom Station can provide a host of solutions, in any setting, from schools to airports to military and government applications. He also talked about his dedication to educating customers on how to pick the perquisite system, and he created a scorecard to follow. He eminent that it is notable to fill three key features—intelligibility, interoperability and the “ilities,” which relates to “high availability, scalability, defensibility and maintainability.”

    At the Tyco-Johnson Controls booth, I spoke with Roger Barlow, senior director, product management, TycoSP about a number of recent products across its intrusion, access control and video divisions, and how the company is benefitting from the “synergies between Tyco and Johnson Controls,” he said. He also showed the DSC iotega, the company’s recent innovative security and lifestyle management platform. A full-featured security technology, iotega facilitates home automation enhancements and add-ons via software apps. The company also announced its SG System 5 now supports PSTN line cards on the SG-System 5 receiver to give central stations the flexibility to monitor both IP and PSTN alert signals, and how its EntraPass straggle Support for Apple Watch is the “industry’s first Apple Watch mobile credential that allows card holders to consume the watch as a mobile access control credential."

    At the Sureview Sytems booth, Simon Morgan, chief technology officer, gave me a demo SureView PSIM Solutions, which he pointed out, “improve security, optimize operations and reduce costs. He showed me how the Immix CC Platform delivers more integrations, easy deployment and simple operation. He said SureView Immix CC Simplifies PSIM deployment and operation, featuring “intuitive UI, more integrations and unique architecture, which deliver unprecedented ease of operation and versatility.”

    Next, I visited Ditek, a surge protection company that works closely with the security industry to protect vital systems and tackle from being damaged by power surges, saving money in the process. Jorge Andino, domain sales engineer, pointed out that the company does this by providing a site survey for each project, giving that customer the perquisite surge protection tackle to meet their needs. “Our surge protection tackle acts as the sacrificial lamb, preventing costly damage to the equipment.”

    I finished my day speaking with Rick Caruthers, executive VP, Galaxy Control Systems, who told me about the company’s recent announcement that is “committing resources and manpower to providing cloud solutions to their customers,” he said. The Galaxy Cloud Concierge solution is a complete turnkey, cloud-based, fully hosted and managed access control and monitoring solution that includes professional 24/7 management and supports industry standard access technologies.

    Day Four

    On Friday I started the day at the Morse Watchmans booth speaking with George Lawson, account executive, and Joseph Granitto, COO, about the company’s key control and access management security systems, which are getting smarter and safer with a lot more functionality. “We bewitch feedback from customers to add recent features and consequence their products easier to use,” said Lawson. In addition to an improved motherboard powering its systems, the company is unveiling a recent enterprise-based software system. And its Asset Watcher, which the company tested exhaustively over the past year, is set to further out soon as well.

    At the Pivot3 booth, I spoke with Brandon Reich, surveillance business leader, about the company’s strategic original tackle manufacturer (OEM) relationship with quick-witted Security Systems (ISS), an innovator in the progress of advanced video management and video analytics software. Under the agreement, ISS will license the Pivot3 hyperconverged infrastructure (HCI) platform and integrate it with ISS video management software (VMS) to supply more robust security intelligence and video storage options to customers. “We are really excited about that partnership,” said Reich. “We can provide a considerable solution set together.”

    At the Eizo booth, I spoke with Keisuke Akiba, product and marketing manager, and Brian Cote, about the company’s security and surveillance monitoring solutions. The IP decoding monitors further equipped with visibility enhancement technology for improving the clarity of video footage in real time. Akiba demonstrated the multi-monitor flexibility and showed me the 4k IPS 31.5-inch monitor with 3840 x 2160 aboriginal resolution.

    Over at the Boon Edam booth, Tracie Thomas, marketing manager, gave me an overview of the company’s many entry solutions, as well as news on the company’s expanding sales and customer service staff to support record sales growth. The company also announced the expansion of its product-training schedule, with more programs and locations. And, soon, Boon Edam will offer its revolving door specifications on the ARCOM MasterSpec platform, which is widely used by architect and design firms in North America for commercial buildings.

    At the 3xLOGIC booth, Suzi Abell, tradeshow and events manager, shared present news, including the company’s recent integrated, hosted video and access control solution for the SMB market and the company’s partnership with Bold Technologies to offer an advanced video solution. The companies recently completed integration of Bold’s ManitouNEO with the 3xLOGIC VIGIL video platform, which supports cloud-managed video. The company also announced the release of a recent multi-sensor camera and updated VIGIL software.

    At the Panasonic booth, Charlie Hare, national category manger, security and evidence management solutions, walked me through some of the company’s stout announcements at the show, including the company’s expanded portfolio of i-PRO Extreme Surveillance Technology and its recent i-PRO Extreme PTZ Camera with Advanced Analytics, as well as its latest video surveillance solutions. The i-PRO features a recent chip set that produces “amazing picture quality,” said Hare.

    Over at the ReconaSense booth, Clayton Brown, product manager, described the company’s next-generation situational awareness platform, which provides “the tools to execute real-time captious analysis,” he said. John Carter, the CTO of ReconaSense, is a former NASA engineer. The software leverages the IoT and stout data with access control and video analytics to drive “proactive response” across diverse systems. By connecting the dots and alerting operators of suspicious events, the technology facilitates better decision-making and optimal resource allocation.

    My final booth visit was over at NVIDIA, which was showcasing some of its latest IVA-related, AI technology for smart and safe cities, featuring many partners such as IBM, Hikvision and Dahua. Deepu Talla, VP/GM, autonomous machines, showed me how the company’s GPU computing is not only powering its many partners but “driving the latest applications for safety and security in AI cities,” he said, including public safety, traffic management, conduct analysis, video analytics, anomaly detection, facial recognition, rapid forensics, parking management and robotics.

    NOTE: In addition to daily reports, peer for ssnTVnews video interviews from the present floor, including my video interviews with Bill Bozeman, president and CEO, PSA Security Network; Dan Moceri, executive chairman and founder, and Ken Lochiatto, president and CEO, Convergint Technologies; Maureen Lally, VP of marketing, TycoIS; Richard Tampier, senior director, sales and product strategy, Red Hawk Fire & Security; Craig Layers, senior VP. sales and marketing, ADS Security; and Jon Cropley, principal analyst, video vurveillance, IHS Markit.


    Intel Advances Next angle of stout Data Intelligence: real Time Analytics | killexams.com real questions and Pass4sure dumps

    SANTA CLARA, Calif.--(BUSINESS WIRE)--To attend companies in a variety of industries from retail and healthcare to banking and transportation turn data into actionable insights, Intel Corporation today introduced the Intel® Xeon® processor E7 v2 family.

    Using analytics enables businesses to consequence decisions that improve top-line and bottom-line results. The Intel Xeon processor E7 v2 family delivers recent capabilities to process and analyze large, diverse amounts of data to unlock information that was previously inaccessible.

    “Organizations that leverage data to accelerate business insights will fill a tremendous edge in this economy,” said Diane Bryant, senior vice president and universal manager of Intel’s Data seat Group. “The advanced performance, remembrance capacity and reliability of the Intel Xeon processor E7 v2 family enable IT organizations to deliver real-time analysis of big data sets to spot and capitalize on trends, create recent services and deliver business efficiency.”

    Big data and the Internet of Things (IoT) are providing huge opportunities for many organizations to grow as they create revenue-generating services from the information they are able to derive. The stout data technology and services market is expected to grow 27 percent annually through 2017 to reach $32.4 billion4. A leading driver of this growth is the immense amount of data coming from connected devices making up the IoT, which is projected to grow to 30 billion devices by 20205. Investments in the highest performing technologies and analysis solutions can also deliver significant cost savings. For example, Intel’s IT organization expects to achieve cost savings and increased bottom-line revenue of nearly half a billion dollars through consume of analytics solutions by 2016.

    New stout Data Processing and Analytics Capabilities with Relentless Reliability

    The Intel Xeon processor E7 v2 family has triple the remembrance capacity of the previous generation processor family, allowing much faster and thorough data analysis. In-memory analytics places and analyzes an entire data set – such as an organization’s entire customer database – in the system remembrance rather than on traditional disk drives. This method is gaining in popularity due to the increased requisite for more knotty analytics. Industry analyst firm Gartner expects 35 percent6 of mid- to large-sized companies will adopt in-memory analytics by 2015, up from 10 percent in 2012 and predicts at least 50 percent of Global 2000 companies will consume in-memory computing to deliver significant additional benefits from investments in enterprise resource planning (ERP).

    eBay, one of the world's largest and most knotty online marketplaces, handles massive data sets of more than 50 petabytes (PB) for more than 100 million users. Based on initial testing of the recent Intel Xeon processor E7 v2 and SAP’s HANA* in-memory analytics software, eBay has seen greater performance7 and understanding of larger data sets that will attend drive additional revenue opportunities for its customers.

    Built for up to 32-socket8 servers, with configurations supporting up to 15 processing cores and up to 1.5 terabytes (TB) of remembrance per socket, the recent processor family achieves twice the fair performance of the previous generation3. These enhancements attend businesses that sprint mission captious applications including business support systems (BSS), customer relationship management (CRM), and ERP to operate more efficiently, at lower cost and with faster response times2. For example, a sales team with these capabilities can maximize revenue by pinpointing the best time to sell a product, or let an oil and gas company better predict when its platforms require preventative maintenance.

    To reduce data bottlenecks, the Intel Xeon Processor E7 v2 family features Intel® Integrated I/O, Intel® Data Direct I/O and support for PCIe 3.0*, achieving up to four times the I/O bandwidth over the previous generation9 and providing extra capacity for storage and networking connections.

    System uptime and reliability also remains a key requirement for mission captious applications. The Intel Xeon Processor E7 v2 family continues Intel’s tradition of delivering world-class reliability, availability and serviceability (RAS). Intel® sprint Sure Technology10 is designed for “five nines” solutions essential for business-critical data by reducing the frequency and cost of planned and unplanned downtime.

    Extensive Industry Support

    Starting today, 21 system manufacturers from around the world will broadcast more than 40 Intel Xeon processor E7 v2 family-based platforms. These manufacturers comprehend Asus*, Bull*, Cisco*, Dell*, EMC*, Fujitsu*, Hitachi*, HP*, Huawei*, IBM*, Inspur*, Lenovo*, NEC*, Oracle*, PowerLeader*, Quanta*, SGI*, Sugon*, Supermicro*, Unisys* and ZTE*. Numerous analytics software vendors also support Xeon processor E7 v2 family-based platforms, including Altibase*, IBM*, Microsoft*, Oracle*, Pivotal*, QlikView*, Red Hat*, SAP*, SAS*, Software AG*, Splunk*, Sungard*, Teradata*, TongTech*, Vertica* and YonYou*.

    About Intel

    Intel (NASDAQ: INTC) is a world leader in computing innovation. The company designs and builds the essential technologies that serve as the foundation for the world’s computing devices. Additional information about Intel is available at newsroom.intel.com and blogs.intel.com.

    Intel, Intel logo and Intel Xeon are trademarks of Intel Corporation in the United States and other countries.

    *Other names and brands may breathe claimed as the property of others.

    Software and workloads used in performance tests may fill been optimized for performance only on Intel microprocessors. Performance tests, such as SYSmark and MobileMark, are measured using specific computer systems, components, software, operations and functions. Any change to any of those factors may cause the results to vary. You should consult other information and performance tests to assist you in fully evaluating your contemplated purchases, including the performance of that product when combined with other products.

    Results fill been measured by Intel based on software, benchmark or other data of third parties and are provided for informational purposes only. Any inequity in system hardware or software design or configuration may touch actual performance. Intel does not control or audit the design or implementation of third party data referenced in this document. Intel encourages each and every of its customers to visit the websites of the referenced third parties or other sources to validate whether the referenced data is accurate and reflects performance of systems available for purchase.

    The TCO or other cost reduction scenarios described in this document are intended to enable you to rep a better understanding of how the purchase of a given Intel product, combined with a number of situation-specific variables, might touch your future cost and savings. Nothing in this document should breathe interpreted as either a plight of or compress for a given even of costs.

    1. Intel Xeon processor E7 v2 family provides the largest remembrance footprint of 1.5 TB per socket vs 1TB per socket delivered by alternative architectures, based on published specs.

    2. Up to 80% leadership performance on Xeon E7 v2 over IBM Power* 7+ at ~80% lower TCO pretense based on Intel estimated SPECint*_rate_base2006 results and pricing of comparable 4-socket rack server using Intel® Xeon® processor E7-4890 v2 (37.5M Cache, 2.8 GHz, 15-Cores) to IBM POWER*750 using POWER7+ (80M Cache, 4.0 GHz, 8-Cores) as of December 2013.

    3. Up to double the fair generational performance based on results of six key industry-standard workloads: SPECint*_rate_base2006+, SPECfp*_rate_base2006+, brokerage on-line transaction processing (OLTP) database workload, warehouse supply chain OLTP database workload, STREAM remembrance bandwidth and LINPACK GFLOPS. Configurations: 4-socket server using Intel® Xeon® processor E7-4890 v2 (new processor) vs. E7-4870 (previous generation processor). Learn more about Xeon E7 v2 performance at http://www.intel.com/content/www/us/en/benchmarks/server/xeon-e7-summary.html

    4. Source: IDC WW stout Data Technology and Services 2013-2017 Forecast, Doc #244979, Dec 2013

    5. Source: IDC Market Analysis Perspective: Worldwide Enterprise Servers, 2013 — Technology Market, Doc #245080

    6. Source: Gartner "Top Technology Trends, 2013: In-Memory Computing Aims at Mainstream Adoption"

    7. eBay’s test systems configurations are not disclosed but the observed results are consistent with Intel’s internal measurements from November 2013 showing 2x performance multiply when using SAP HANA based on these configurations:Baseline 1.0x: Intel E7505 Chipset using four Intel Xeon processors E7-4870 (4P/10C/20T, 2.4GHz) with 256GB DDR3-1066 remembrance scoring 110,061 queries per hour. Source: Intel Technical Report #1347.New Generation 2x: Intel C606J Chipset using four Intel Xeon processors E7-4890 v2 (4P/15C/30T, 2.8GHz) with 512GB DDR3-1333 (running 2:1 VMSE) remembrance scoring 218,406 queries per hour. Source: Intel Technical Report #1347.

    8. Requires node controller (available from 3rd party sources).

    9. Up to 4X I/O bandwidth pretense is based on Intel estimates on an internal bandwidth tool running the 1R1W test of the Intel Xeon processor E7-4890 v2 performance normalized against the improvements over dual-IOH Intel Xeon processor E7-4870.

    10. No computer system can provide absolute reliability, availability or serviceability. Requires an Intel® Xeon® processor E7-8800/4800/2800 v2 product families or Intel® Itanium® 9500 series-based system (or follow-on generations of either). Built-in reliability features available on select Intel® processors may require additional software, hardware, services and/or an internet connection. Results may vary depending upon configuration. Consult your system manufacturer for more details.



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    References :


    Issu : https://issuu.com/trutrainers/docs/m2090-615
    Dropmark : http://killexams.dropmark.com/367904/11445720
    Wordpress : http://wp.me/p7SJ6L-gU
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