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1Z0-515 Data Warehousing 11g Essentials

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1Z0-515 exam Dumps Source : Data Warehousing 11g Essentials

Test Code : 1Z0-515
Test denomination : Data Warehousing 11g Essentials
Vendor denomination : Oracle
: 70 existent Questions

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Oracle Oracle Data Warehousing 11g

lessons scholarly up to now About Oracle self reliant Database | killexams.com existent Questions and Pass4sure dumps

Oracle autonomous Database has been attainable on the grounds that final March, letting early adopters accept their fingers on it. At a time when records is more and more seen as a company’s most Important asset, the expertise guarantees to revolutionize what it takes to launch and utilize a sophisticated database.

Oracle

At Oracle OpenWorld 2018, in lots of of sessions across 4 days, CIOs, DBAs, builders and data scientists regarded to tap into these early adopters’ practical competencies to gain in reason what a really self reliant database—which provisions, patches, tunes, and upgrades itself with diminutive or no human intervention—means for his or her futures. 

Accenture offered the big-photograph advantages for businesses.

“The lofty performers of the following day—what they denomination the ‘epic disrupters’—are going to be nimble, agile organisations that utilize their scale to outperform different agencies,” celebrated Adam Burden, Chief application Engineer at Accenture everything over his OpenWorld keynote. but first, he referred to, these agencies should harness smart know-how that allows them to innovate at scale. “Oracle self reliant Database provides precisely this classification of potential,” he pointed out.

as an instance, Oracle self sufficient Database can block some cyber-assaults and facts theft by way of scanning for security threats and immediately applying updates while the database is running, with diminutive or no human involvement. “As an architect and as a utility developer, it enables me to focus more pains and power than ever earlier than on supplying commerce cost in its status of coping with the underlying technical complexity.”

And each huge and small corporations shared what they’re seeing in testing this self sufficient know-how.

for instance, a startup loyalty rewards company, DropTank, “didn’t gain any tradition with data warehousing,” says CEO, Dave VanWiggeren, “and they didn’t are looking to gain a play filled with DBAs, or pay their americans or outside vendors to carry out admin work.” It chose Oracle autonomous records Warehouse as a means to manage statistics and immediately accept evaluation into the hands of its companions.

The startup, which helps gas stations deliver rewards courses, expects "to perceive the variety of in-network areas double from three,500 to 7,000 through the halt of subsequent 12 months,” mentioned VanWiggeren. “i can perceive this becoming 30,000-plus in the future and in-network transactions to boost by using 50x. and that i call their rivals to ask, ‘How are you doing that with 20 individuals?’”

Oracle independent Database is available in two versions: Oracle autonomous information Warehouse, generally obtainable due to the fact that March, is optimized for analytics and reporting workloads, while Oracle independent Transaction Processing, launched in August, is optimized for transactions and blended workloads.

both versions were scorching issues at this year’s Oracle OpenWorld experience. listed below are some key takeaways from the week:

whatever for everybody

“CIOs treasure it for its inexpensive and low chance,” talked about Andy Mendelsohn, from the interactive “change” stage at OpenWorld. Mendelsohn, Oracle’s govt vp for database server applied sciences, confirmed how desktop studying in independent databases at final offers CIOs a pretty sterling reply on information security, where for too long, foul actors and their malicious bots gain had the upper hand, he said.

As Oracle Chairman and CTO Larry Ellison stated everything through his keynote, the cloud-based self sustaining Database gives CIOs their trusted Oracle Database capability, operating on a cloud developed for mission-essential commercial enterprise workloads including excessive-performance Exadata infrastructure, actual software Clusters for lucid scale-out and failing tolerance, and lively records shield catastrophe restoration.   

“clients gain relied on Oracle Database to manage and protect their information on-premises,” provides Mendelsohn. “Now they’re seeing Oracle independent Database as a key portion of their system to sprint their company and capitalize competitive talents on the cloud.”

builders are discovering a lot to treasure about autonomous database, too, “as a result of they relish being able to push a button and provision a sophisticated database in minutes,” Mendelsohn said. “Some builders gain a perception that Oracle Database is complicated to setup and use, but with autonomous it’s primary. An self reliant database is in reality more convenient to utilize than a lot less capable data stores, in spite of the fact that it’s built on a magnificent scalable and elastic infrastructure including Oracle actual application Clusters on Exadata.

The Ever-altering role of the DBA

Mendelsohn additionally talked concerning the freight reductions that further from a database that fully manages itself: “Labor costs linked to provisioning, patching, and tuning the database are pretty a sterling deal eradicated.” but that fact left DBAs scratching their heads: What’s in it for them?

It turns out, lots, spoke of Oracle database specialists Maria Colgan and Penny Avril, who delivered a few talks throughout the experience. They confirmed that whereas the mundane work of provisioning, patching, and tuning the database is taken over with the aid of Oracle, the fun and particularly useful work of records modeling and application tuning is in inordinate demand, as is the necessity for information consultants to grow their understanding of cloud capabilities. “The enjoyable half of what you carry out continues to be there,” celebrated Avril. “You couldn’t accept to it before because you gain been too diligent conserving the lights on. Now you can, and you turn into extra valuable than ever.”

superior efficiency and reduce can charge

From the keynote stage, Ellison offered head-to-head benchmarks showing Oracle’s independent information warehouse and transaction processing databases running the equal workload as AWS’s Redshift and Aurora databases.

In Ellison’s are animated demonstration, Oracle self sufficient data Warehouse processed an analytics workload 9 times quicker, translating to eight instances cheaper, than did Redshift. In a separate benchmark displaying Oracle self sustaining Transaction Processing versus Aurora, the Oracle database ran a workload 11 times faster and seven times more affordable.  although a consumer gain been to sprint the Oracle Database on Amazon RDS, Ellison showed Oracle self sufficient Transaction Processing could be three times quicker and two instances more affordable. 

eventually, Ellison showed how Oracle self reliant Transaction Processing database can proceed to process transactions even while being patched to fix a protection vulnerability.  greater suggestions on these benchmarks may too be establish on the Oracle weblog. Ellison stressed that, given that groups pay through the minute for computing energy, these pace benefits for the self sustaining Database on Oracle’s era 2 infrastructure drive huge discount rates. “The combination of being lots sooner and being aggressively priced is respectable for you, because we're simply an dreadful lot more cost-effective than the competition,” Ellison mentioned.

greater autonomous alternate options on the style

Coming in 2019, pointed out Ellison, Oracle self reliant Transaction Processing Database, will aid allow organizations to install in a completely dedicated ‘inner most cloud relish environment’ on Oracle Cloud. “You’ll be capable of sprint on committed Exadata infrastructure, the status you're the just one using that computer in their facts middle. that you would be able to seclude your self and gain your total perimeter sealed off with the aid of their cloud control computer systems.”

next summer season, Ellison brought, Oracle’s well-known Cloud at client choice, the status purchasers sprint Oracle Cloud of their own statistics core, will even be capable of sprint the independent database. “subsequent summer time, press a button, and your database Cloud at customer becomes self reliant Database Cloud at client,” he spoke of.

Accenture’s Adam Burden, a 27-12 months veteran of commerce and IT, warned listeners that “the tempo of know-how alternate will not ever again be as tedious as it is at this time.” He persevered: “to meet the challenges of protection, agility, scalability and cost, his enterprise has “needed to rethink the style techniques can be constructed. And Oracle’s self sufficient Database is a chief illustration of how it could be finished.”


AWS CEO Jassy taunts Oracle’s Ellison After Amazon Turns Off Oracle records Warehouse | killexams.com existent Questions and Pass4sure dumps

Amazon net features CEO Andy Jassy referred to Friday that Amazon's migration away from Oracle databases currently took an additional primary step ahead.

Jassy tweeted that Amazon's buyer company on Nov. 1 "became off" its Oracle statistics warehouse—a technology for storing huge quantities of records customarily used for analytics and company intelligence.

Jassy took the jiffy as an chance to punch lower back at Oracle founder and CTO Larry Ellison, who final month on the Oracle OpenWorld conference boasted about Amazon's dependence on Oracle know-how, regardless of the antipathy between both expertise giants.

"In newest episode of "uh huh, hold talkin' Larry," Amazon’s buyer enterprise turned off its Oracle facts warehouse Nov 1 and moved to Redshift. with the aid of conclusion of 2018, they'll gain 88% of their Oracle DBs (and 97% of Important device DBs) moved to Aurora and DynamoDB. #DBFreedom

[Related: Amazon Will disentangle Itself From Oracle Tech By 2020: Report]

Oracle declined remark. CRN has reached out to AWS for remark.

Ethan Simmons, managing partner of Pinnacle know-how partners, an AWS partner based mostly in Boston, advised CRN he isn't shocked by means of Jassy's tweet, and Amazon's crave to accept off Oracle.

"Our valued clientele are asking us to support them carry out the identical actual factor," Simmons talked about.

and there is diminutive question Amazon will prevail in migrating everything its methods to its own database products. anything else is workable with time and limitless cash," he referred to.

Amazon's efforts emigrate far from Oracle's leading database platform and onto indigenous AWS features relish RedShift, Aurora and DynamoDB gain been ongoing for years as a war of words has intensified between their senior executives.

CNBC, citing americans generic with the remember, pronounced in August that Amazon believed it became under two years far from realizing its lengthy-predicted map to separate utterly from Oracle.

all through his OpenWorld keynote, Ellison mocked a simultaneous pains that led to huge glitches for the e-commerce tremendous.

Ellison referenced a CNBC tidings sage about a 25-web page Amazon "correction of error" file that unique how a flow from Oracle to its own Aurora PostgreSQL resulted in database degradation, growing "lags and finished outages" on Amazon major Day.

That fourth annual Amazon top Day, a merchandising for top rate Amazon.com contributors that drives more revenue than Black Friday and Cyber Monday, was marred by frequent outages that subsequently delayed deliveries for heaps of clients.

In an salary denomination closing December, Ellison too asserted Amazon "is not relocating off of Oracle" and shared with traders that Amazon spent $50 million on Oracle expertise in the quarter.

"I don’t suppose they can carry out it," Ellison stated, adding that Amazon has tried for a decade but doesn't gain the expertise to prick it.

The verbal arrows gain flown in both instructions.

finally yr's AWS re:Invent convention, Jassy challenged companions to "discover a lot of customers using Oracle who are in reality satisfied about it."

Jassy didn't at once well known his enterprise became a kindhearted of dismal valued clientele.


Oracle Has records and AI Ambitions for DataFox – Its latest Acquisition | killexams.com existent Questions and Pass4sure dumps

Oracle’s newest acquisition DataFox provides cloud-based mostly simulated intelligence (AI) facts engine. Will DataFox’s AI capabilities aid Oracle’s cloud functions?

On October 22 2018, Oracle introduced a further acquisition – that of DataFox. The startup’s cloud-primarily based simulated intelligence (AI) facts engine and derived commerce content material provide business-level information and insightful information. This engine has extracted extraordinary quantities of facts to this point; more than 2.eight million public and private corporations, to be specific, while adding 1.2 million businesses yearly.

What does Oracle map to carry out with DataFox? Oracle already has DataScience.com, the cloud workspace platform that provides machine gaining scholarship of options, which it received in might too 2018. in keeping with Oracle’s press unencumber the “combination of Oracle and DataFox” will boost Oracle Cloud functions “with an in depth set of depended on business-degree facts and signals.” The commerce says that this can permit its valued clientele “to reach even enhanced selections and commerce consequences.”

In a word to DataFox clients, which contains Goldman Sachs, Bain & commerce and Twilio, Steve Miranda, EVP of functions construction, Oracle, mentioned that DataFox will now be an component Oracle’s existing portfolio of company planning features – commerce aid planning (ERP), consumer adventure (CX), human capital administration (HCM) and supply chain management (SCM). DataFox claims to provide purchasers with the insightful records they necessity to prioritize money owed, enrich leads, refresh and harmonize CRM records and determine fresh prospects.

This segues perfectly into Oracle’s information and AI ambitions. Oracle embeds AI and laptop gaining scholarship of capabilities throughout its utility as a carrier (SaaS) and Platform as a provider (PaaS) solutions, which consist of huge information, analytics and safety operations, to allow digital transformation. “together, Oracle and DataFox will enrich cloud applications with AI-driven business-stage records, powering options to elevate commerce efficiency across the commercial enterprise,” Miranda brought in his word. 

Caption: An infographic shared with the aid of Oracle together with the announcement

As of now, Oracle hasn’t published any plans for a brand fresh product with DataFox. It should be reviewing the current DataFox product roadmap, and should proceed with it, whereas working with DataFox’s latest consumers.

What Oracle’s DataFox acquisition tells us concerning the business  is that customer undergo superior by AI-pushed tools, is quick fitting a priority for huge brands and platform suppliers. They saw the identical when Salesforce obtained Datorama in July 2018.

What carry out you deem of the brand fresh feather in Oracle’s diligent hat? divulge us within the feedback below.


1Z0-515 Data Warehousing 11g Essentials

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1Z0-515 exam Dumps Source : Data Warehousing 11g Essentials

Test Code : 1Z0-515
Test denomination : Data Warehousing 11g Essentials
Vendor denomination : Oracle
: 70 existent Questions

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Data Warehousing 11g Essentials

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Performance Caching in a Snowflake Data Warehouse | killexams.com existent questions and Pass4sure dumps

Like any modern database, Snowflake uses various levels of caching to maximize query performance and reduce disk I/O and machine load. This article provides an overview of the techniques used by Snowflake, the data warehouse built for the cloud.

System Architecture

Before starting, it’s worth considering the underlying Snowflake architecture and explaining when Snowflake caches data. The diagram below illustrates the overall architecture, which consists of three layers:

Image title

  • The Service Layer accepts SQL requests from users, coordinates queries, and manages transactions and results. Logically, this can be assumed to hold the result cache, a cached copy of the results of every query executed.
  • The Compute Layer actually does the hefty lifting. This is where the actual SQL is executed across the nodes of a Virtual Data Warehouse. This layer holds a cache of data queried, and is often referred to as Local Disk I/O, although in reality this is implemented using SSD storage. All data in the compute layer is temporary and only held as long as the virtual warehouse is active.
  • The Storage Layer provides long-term storage of results. This is often referred to as Remote Disk and is currently implemented on either Amazon S3 or Microsoft Blob storage.
  • Snowflake Caching Layers

    The diagram below illustrates the levels at which data and results are cached for subsequent use:

  • The Result Cache holds the results of every query executed in the past 24 hours. These are available across virtual warehouses, so query results returned to one user are available to every user in the system.
  • The Local Disk Cache caches data used in queries. Whenever data is needed for a given query, it's retrieved from the Remote Disk storage, and cached for subsequent queries here.
  • The Remote Disk holds the long-term storage. This plane is accountable for data resilience, which in the case of Amazon Web Services, means 99.999999999% durability, even in the event of an entire data center failure.
  • Image title

    Benchmark Testing Setup

    Every Snowflake database is delivered with a pre-built and populated set of Transaction Processing Council (TPC) benchmark tables. To test the result of caching, I set up a series of test queries against a small subset of the data, which is illustrated below.

    Image title

    All the queries were executed on a MEDIUM sized cluster (8 nodes) and joined the tables. The tables were queried exactly as is, without any performance tuning.

    The following query was executed multiple times, and the elapsed time and query map were recorded each time.

    Image title

    The screenshot below illustrates the results of the query which summarise the data by Region and Country. In total, the SQL queried, summarized, and counted 1.5 billion rows of data. The screenshot shows the first eight lines returned.

    Image title

    Test Sequence

    The test sequence was as follows:

  • Run from cold: Starting a fresh virtual warehouse (with no local disk caching), and executing the query.
  • Run from warm: Disabling the result caching and repeating the query. This made utilize of the local disk caching.
  • Run from hot: Again, repeated the query, but with the result caching switched on.
  • Each query included over 60Gb of raw data, although as Snowflake was able to automatically compress the data, the actual data transfers were around 12Gb. As Snowflake is a columnar data warehouse, it automatically returns the columns needed rather then the entire row to maximize query performance.

    Run From Cold

    This query returned in around 20 seconds and demonstrates it scanned around 12Gb of compressed data, with 0% from the local disk cache. This means it had no capitalize from disk caching.

    Image title

    The bar chart above demonstrates around 50% of the time was spent on local or remote disk I/O, and only 2% on actually processing the data. Clearly any design changes they can carry out to reduce the disk I/O will help this query.

    The results too demonstrate the queries were unable to discharge any partition pruning which might improve query performance. We’ll cover the outcome of partition pruning and clustering in the next article.

    Run From Warm

    This query was executed immediately after, but with the result cache disabled, and it completed in 1.2 seconds – around 16 times faster. In this case, the Local Disk cache (which is actually SSD on Amazon Web Services) was used to return results, and disk I/O is no longer a concern.

    Image title

    In the above case, the disk I/O has been reduced to around 11% of the total elapsed time, and 99% of the data came from the (local disk) cache. While querying 1.5 billion rows, this is clearly an excellent result.

    Run From Hot

    This query returned results in milliseconds and involved re-executing the query, but with this time, the result cache enabled. Normally, this is the default situation, but it was disabled for testing purposes.

    Image title

    The above profile indicates the entire query was served directly from the result cache (taking around 2 milliseconds). Although not immediately obvious, many dashboard applications involve repeatedly refreshing a series of screens and dashboards by re-executing the SQL. In these cases, the results are immediately returned in milliseconds.

    Although more information is available in the Snowflake Documentation, a series of tests demonstrated the result cache will be reused unless the underlying data (or SQL query) has changed. As a series of additional tests demonstrated inserts, updates and deletes which don't strike the underlying data are ignored, and the result cache is used, provided data in the micro-partitions remains unchanged.

    Finally, results are normally retained for 24 hours, although the clock is reset every time the query is re-executed, up to a restrict of 30 days, after which results query the remote disk.

    Summary

    The sequence of tests was designed purely to illustrate the outcome of data caching on Snowflake. The tests included:-

  • Raw Data: Including over 1.5 billion rows of TPC generated data, a total of over 60Gb of raw data
  • Initial Query: Took 20 seconds to complete, and ran entirely from the remote disk.  Quite impressive.
  • Second Query: Was 16 times faster at 1.2 seconds and used the Local Disk (SSD) cache.
  • Result Set Query: Returned results in 130 milliseconds from the result cache (intentionally disabled on the prior query).  
  • To Put the above results in context, I repeatedly ran the selfsame query on Oracle 11g production database server for a tier one investment bank and it took over 22 minutes to complete.

    Finally, unlike Oracle where additional supervision and pains must be made to ensure correct partitioning, indexing, stats gathering and data compression, Snowflake caching is entirely automatic and available by default. Absolutely no pains was made to tune either the queries or the underlying design, although there are options available, which I'll debate in the next article. Sign up below for further details.

    Further Reading

    Thank you for reading this. If you establish this article keen and would relish to know more, you can read more about Snowflake, and Data Warehousing at www.analytics.today.

    One of the most celebrated articles I’ve written describes my undergo as an Oracle warehouse architect and compares this to how Snowflake would wield the problems I encountered. You can read more at The pattern Data Warehouse Architecture.

    Topics:

    big data ,caching ,database ,performance ,performance optimization ,queries ,performance caching


    Oracle Database 12c relational database management system overview | killexams.com existent questions and Pass4sure dumps

    Oracle Database 12c is a relational database management system (RDBMS) designed for both on-premises and cloud uses and deployable on a selection of clustered or single servers. It provides comprehensive features for managing data in transaction processing, commerce intelligence and content management applications.

    Oracle Database 12c Features

    A chart on Oracle's website shows a comprehensive list of features by edition. Oracle too offers a Personal Edition of Oracle Database 12 for individual users. In addition, the company makes an Express Edition available as a free offering geared toward learning and basic, introductory usage. However, the Express Edition is currently available for only Oracle Database 11g, the predecessor to 12c.

    Oracle Database 12c provides more than 500 fresh features, including a fresh multi-tenant architecture that simplifies the process of consolidating databases in the cloud, enabling customers to manage many databases as one without changing their applications. A single multi-tenant container can host and manage hundreds of pluggable databases to dramatically reduce costs and simplify administration.

    Oracle Database 12c too boasts a fresh Database In-Memory column store, which accelerates database queries in an pains to enable businesses to get better and faster decisions. Existing applications can automatically and transparently purchase edge of in-memory processing without requiring any changes or losing any existing Oracle Database capabilities.

    In addition, Oracle Database 12c offers improved security features, enabling organizations to protect their mission-critical commerce information internally and externally with data redaction capabilities to remove sensitive application data and a "privilege analysis" office to help identify users and applications with access privileges within the database. Through advanced technologies for encryption, auditing and access control, Oracle too provides a comprehensive set of defense-in-depth data security tools that can help address regulatory compliance.

    Oracle Database 12c editions

    Oracle Database 12c is available primarily in three editions designed to appropriate different customers' functionality needs and budgets:

  • Oracle Database Enterprise Edition offers unlimited CPU and remembrance usage (up to the OS maximum), as well as everything of the features of Oracle Database 12c, although nearly 20 of them -- including the Multitenant and Database In-Memory technologies -- are optional add-ons that must be purchased separately. List prices for the Enterprise Edition start at $90 for a Named User Plus license or $47,500 for a processor license.
  • Oracle Database Standard Edition is a lower-cost option with a more limited feature set for small and medium-sized businesses or departmental applications. The Standard Edition can be licensed only on servers with a maximum capacity of four sockets. If Named User Plus licensing is used, a minimum of five licenses is required.
  • Oracle Standard Edition One is an entry-level offering that can be used only on servers with up to two sockets. The other primary contrast between it and the Standard Edition is that it doesn't support Oracle's existent Application Clusters and automated workload management technologies.
  • Oracle Database 12c OSes

    Oracle Database 12c is a heterogeneous relational database management system that runs on Windows, Linux and Unix operating systems and is supported across a broad range of server and storage hardware systems. Supported OS versions include:

  • Microsoft Windows x64
  • Linux x86-64 and zLinux64
  • Oracle Solaris (for both SPARC and x86 systems)
  • HP-UX Itanium
  • IBM AIX (PPC64)
  • zLinux 64
  • Oracle Database 12c licensing

    Oracle, the largest relational database management system vendor, offers both perpetual and term licenses, the latter in annual increments from one to five years. The license metrics used for determining the cost of Oracle Database 12c purchases are based either on the number of named users and devices that will gain access to the software -- officially known as Named User Plus -- or the number of processors the database will sprint on.

    Oracle Database 12c software licenses are sold directly by Oracle and through resellers. Oracle uses a combination of written agreements to license its software. The overarching license rights are described in the Oracle Master Agreement, and the rights regarding specific products and services are described in the Ordering Document.

    Oracle Database 12c data types

    In addition to the standard numeric, character and date/time data types supported by everything relational database management systems, Oracle Database 12c supports a variety of data types as well as user-defined types.

    Oracle's Exadata database appliance is too available for users looking for an easier, plug-and-play DBMS. Oracle provides different configurations based on DBMS usage that comprise servers tailored for hefty online processing as well as data warehouse applications.

    Oracle Database 12c benchmarks

    Although it's wise to conduct your own performance benchmarks, Oracle regularly benchmarks its DBMS and publishes the results. Many organizations gain achieved lofty availability and performance using Oracle Database with their applications.

    About the authorCraig S. Mullins is a data management strategist, researcher, consultant and author with more than 30 years of undergo in everything facets of database systems development. He is president and principal consultant of Mullins Consulting Inc. and publisher/editor of TheDatabaseSite.com. Email him at craig@craigmullins.com.

    Email us at editor@searchdatamanagement.com and follow us on Twitter: @sDataManagement.


    How Power BI is cutting data modelling, visual analytics costs for businesses | killexams.com existent questions and Pass4sure dumps

    [Johannesburg, 29 October 2018]

    One of the most enjoyable parts of their work here at Cloud Essentials is helping their clients accept complete functionality from their Microsoft Office 365 and Azure licences. We're constantly astounded by the number of organisations paying top dollar to third-party providers for tools and services they already gain built into their Microsoft subscriptions.

    How Power BI is cutting data modelling, visual analytics costs for businesses.

    How Power BI is cutting data modelling, visual analytics costs for businesses.

    Business intelligence and visual analytics tools are a distinguished example, which gain been coming up more and more frequently in client discussions. They work with a lot of organisations who are migrating workloads to Microsoft Azure, and yet very few of them gain considered how that transition could be leveraged to prick costs (and gain functionality) from a BI perspective.

    Microsoft Power BI

    If you work in the BI space, chances are you've heard of Power BI, Microsoft's self-service analytics and dashboarding tool. What you may not gain heard is that Power BI Pro is included in the Microsoft Office 365 Enterprise E5 licence.

    That's right, if you're on an Office 365 E5 licence, you already gain a powerful BI and visual analytics tool at your disposal… so why are you still paying for a (probably expensive) third-party solution?

    Power(BI)ful benefits

    One of the biggest hurdles for Power BI adoption tends to be the strong feelings of organisation analytics/modelling teams. Once a Qlik-er (for example), always a Qlik-er, seems to be a common theme. perverse to what those teams might believe, however, Power BI has some powerful benefits that get it a existent contender in the space.

    Cost

    We've already established that cost is a huge capitalize for Power BI users; it's tough to beat "free" as a expense point. Even businesses on lower-tier Microsoft licences can subscribe to Power BI Pro for $9.99 per user (dramatically less than most third-party alternatives) and Power BI Desktop is free for anyone to use.

    Integration

    As they everything know, affordability and functionality don't always proceed hand-in-hand when it comes to software. Thankfully, in the case of Power BI, they're not mutually exclusive. In fact, Power BI's integration into the greater Microsoft environment offers some very useful value-adds that other services can't deliver.

    These include:

    * AI and computer learning via Microsoft Azure;* Direct Query to Azure-based resources (eg, Azure SQL Server or Analysis Services);* Live update and/or data ingestion capabilities using Azure Stream Analytics;* light integration into project management and collaboration platforms relish Microsoft Teams; and* Simple internal and external sharing, no necessity to provision servers, Web servers or DMZs.

    Ongoing development

    One of the more common concerns they hear from analysts is whether Power BI can match the functionality they're used to from their existing dashboarding solutions. In typical Microsoft style, this may gain been an issue early in the product's release, but constant improvement has rapidly closed the gaps.

    In fact, with their monthly release cycle for Power BI (as opposed to competitors' typically biannual updates), they await to perceive Microsoft surpassing other solutions in the selfsame space very soon.

    Potential challenges

    It's Important to concede that every solution has its challenges, and Power BI is no exception. It is, however, exceptional for its unusually user-friendly and intuitive interfaces that get it easier to accept to grips with than a lot of its competitors.

    Challenges common to everything BI and visual analytics platforms

    Getting usable insights out of commerce data is an intricate process, no matter what tool suite you select to use. BI and dashboarding is an craft that takes some undergo to completely master. These are a few of the common challenges that are par for the course:

    Adam Bown, Cloud Forensics & Data Analytics Specialist at Cloud Essentials.

    Adam Bown, Cloud Forensics & Data Analytics Specialist at Cloud Essentials.

    * Accurately cleansing, formatting and normalising data for ingestion can be fiddly and time-consuming;* Mapping and relating data in analytic ways to build trustworthy and useful data sets often requires iterative processes; and* Creating dashboards that leverage those data sets to provide the desired insights at a glance takes some practice.

    No solution removes these challenges completely, but Power BI does get it easier than some.

    Cloud Essentials can too carry out the hefty lifting for you, so you can skip the data-wrangling challenges and dive straight into the insights. Find out more.

    Challenges migrating from another platform to Power BI

    Swapping from a third-party BI and visual analytics platform to Power BI has challenges as well, it's not always as simple as flipping a switch and enjoying the cost savings. Change management is important, particularly if your current solution is deeply entrenched in your processes and environment.

    Possible migration challenges include:

    * User adoption: no matter how intuitive Power BI is, weak habits are arduous to break, and users often necessity a bit of retraining to embrace their fresh tools. (Ask us about their customisable training programmes and cloud workshops.)* Matching existing outputs on a 1:1 basis: different dashboard tools gain different functionality and you may necessity to utilize different methods to achieve the selfsame results.

    Benefits of using a Power BI deployment partner

    While Power BI deployments are workable to DIY, particularly if you gain an experienced data analytics/modelling team, it's often faster and smoother to utilize a partner relish Cloud Essentials to carry out the hefty lifting and environment set-up for you.

    Areas in which they can be particularly useful include:

    * Deploying Power BI as portion of bigger changes relish Office 365 and/or Azure migrations;* Integrating Power BI into an existing Office 365 and/or Azure environment;* Doing data and dashboard preparation in sensitive, complicated or time-pressured situations, including:- Cleaning and preparing data for ingestion;- Relating data accurately and ensuring data model integrity for trustworthy insights; and- pile intuitive dashboards to provide at-a-glance insights with detailed drill-down potential.

    To find out more about leveraging your Office 365 licensing for cost-effective and powerful data modelling and analytics, accept in touch with the Cloud Essentials team.



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