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70-762 Developing SQL Databases

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70-762 exam Dumps Source : Developing SQL Databases

Test Code : 70-762
Test denomination : Developing SQL Databases
Vendor denomination : Microsoft
: 85 actual Questions

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Microsoft Microsoft Developing SQL Databases

Microsoft Azure SQL Database nears parity with SQL Server | killexams.com actual Questions and Pass4sure dumps

SEATTLE -- After a two-yr pile application to tackle its technical obstacles, Microsoft Azure SQL Database is at ultimate poised to become a more credible option to on-premises SQL Server methods for users who requisite to shift database applications to the cloud.

Microsoft's R&D work is culminating in a flurry of new features and product choices. for instance, the vendor on Dec. 1 plans to launch a excessive-end edition of its Azure SQL Database Managed specimen cloud platform for company applications with heavy-duty I/O necessities. Managed illustration is an implementation of Microsoft Azure SQL Database it is basically functionally akin to SQL Server, in line with Microsoft, which released a general-aim edition of the service originally of October.

At hump Summit 2018, Microsoft moreover made available a public preview of its computing device gaining learning of services application running within the core Azure SQL Database platform. That follows preview releases in October of two other new applied sciences: a Hyperscale provider tier that eliminates Azure SQL Database's 4 TB restrict on database dimension, and an Accelerated Database recuperation office built to speed up the technique of improving databases after a system failure.

Hyperscale supports databases with up to a hundred TB of records -- an increase that turned into welcome information to Azure SQL Database person designate Freeman, a senior database administrator at tax, audit and administration consulting capabilities company BDO world.

"right now, we're restrained to four TB databases, and they simply benign of blew the roof off of that," Freeman said on the convention.

PASS Summit 2018 in Seattle Updates to Azure SQL Database had been special and discussed at flux Summit 2018. Separation coverage on Azure databases

Brussels-based BDO runs a whole bunch of databases on Microsoft Azure SQL Database, famed Freeman, who works on the business's office in Columbus, Ohio. however the IT group had to slit up up bigger databases on account of the PaaS know-how's outdated measurement limit, he brought. consequently, operational information for individual international locations can moreover subsist unfold throughout as many as seven separate databases, based on Freeman.

right now, we're limited to 4 TB databases, and that they just benign of blew the roof off of that. designate Freemansenior DBA, BDO world

"Now they will achieve bar nothing of it together in one vicinity while not having to worry about improving bar nothing the databases," he talked about.

Azure SQL Database moreover may additionally now subsist able to tackle older applications that BDO runs on Microsoft's SQL Server on Azure digital Machines platform because of their dimension, Freeman observed. The latter expertise is cloud-based, too, nonetheless it's an IaaS providing that requires database directors (DBAs) to deal with configuration, patching and different management projects that Azure SQL Database automates.

until now, DBAs seeking to migrate existing functions to the cloud typically had to consume SQL Server on Azure digital Machines. Microsoft Azure SQL Database became essentially geared to sprint new cloud-native purposes because of the database measurement challenge and its want of usher for some key SQL Server elements, such because the SQL Server Agent job scheduler. That dampened its attraction to the achieve in base.

"We knew there were some challenges with Azure SQL Database," stated Rohan Kumar, corporate vp of engineering for Azure facts functions and SQL Server at Microsoft.

speaking in the opening keynote session at flux Summit 2018, Kumar introduced that Azure SQL Database Managed instance aims to in the reduction of the "friction" on cloud migrations that latest clients encountered. SQL Server purposes will moreover subsist moved to a Managed illustration environment without any changes, he talked about. And the high-end Managed specimen enterprise captious version will permit users "to sprint their most mission-essential SQL Server workloads in Azure," Kumar claimed.

a well-known suppose for SQL Server users

The Managed illustration know-how remains a piece in progress, said Denny Cherry, founder and predominant advisor at Denny Cherry & associates Consulting in Oceanside, Calif. but in an interview at the convention, Cherry stated he expects person demand for Managed instance deployments to enhance once the trade vital provider tier is purchasable.

"or not it's type of the SQL Server you know," talked about Mike Walsh, president of hetero direction IT solutions, a SQL Server consulting features trade in Milton, N.H.

The Managed specimen implementation of Microsoft Azure SQL Database can moreover subsist expensive, Walsh stated bar nothing the way through a convention session. On Microsoft's web page, he deploy a sample configuration with a compute cost of $a hundred and fifty,000 per month for the optimum number of 80 vCore analytic CPUs. but users can rep discounts of up to 55% if they transfigure an present SQL Server license to the cloud gadget, Walsh observed.

Beautycounter, a multilevel advertising and marketing enterprise that sells skincare, make-up and bath products, runs SQL Server on the AWS cloud as an alternative of Azure. in the past, the Amazon Relational Database carrier (RDS) for SQL Server offered more functionality and alternatives than Microsoft Azure SQL Database did, observed Steve Rezhener, a database engineer at Beautycounter, which is based mostly in Santa Monica, Calif., and formally referred to as Counter brands LLC.

Azure SQL Database Managed instance does not completely exchange that, Rezhener famed in an interview at the convention. "however at least the facets are on par with RDS," he introduced. "It appears relish it's on-premises SQL Server."

At pass Summit 2018, the annual conference of the expert association for SQL Server person community, Microsoft additionally launched the 2nd unlock of SQL Server 2019 beneath its community technology Preview program. CTP 2.1 provides the potential to sprint R and Python applications in the massive information clusters that SQL Server 2019 supports, plus different new features. Microsoft's goal is to unencumber a preview each month, Kumar said.


advancements Coming to Azure SQL, SQL Server 2019 Preview | killexams.com actual Questions and Pass4sure dumps

information

advancements Coming to Azure SQL, SQL Server 2019 Preview
  • by Kurt Mackie
  • November 08, 2018
  • A raft of improvements are coming to Microsoft's database items, including migration support to Azure SQL Database, Apache Kafka support on Azure taste Hubs, Azure SQL information Warehouse advancements and yet an extra preview of the arrival SQL Server 2019 product.

    Microsoft announced the advancements at this week's hump Summit taste for database administrators and builders.

    SQL Server 2019 CTP 2.1SQL Server 2019 remains at the preview stage, even though it's now reached neighborhood know-how Preview (CTP) 2.1, in line with Rohan Kumar, Microsoft's company vp for Azure data, within the announcement. Microsoft is touting built-in befriend for Apache Spark and the Hadoop allotted File tackle within the coming SQL Server 2019 product.

    The latest preview of SQL Server 2019, namely CTP 2.1, adds usher for deploying Python- and R-based purposes on clusters. It brings the skill to location a "buffer pool in persistent reminiscence," which is concept to velocity up I/O operations. there is additionally greater diagnostics for troubleshooting long-working queries that own gotten blocked, amongst different perks.

    another feature that could subsist coming to SQL Server 2019 in a future preview free up could subsist a brand new "Accelerated data recuperation" characteristic, Kumar stated.

    Hybrid and Migration SupportKumar talked about that Microsoft has been "architecting for hybrid" to aid purchasers that fashion to sprint "information workloads in on-premises [servers] and in the cloud." To that conclusion, Microsoft has been making it more convenient for SQL Server users to migrate toward Azure SQL capabilities.

    Kumar pointed to the Azure SQL Database Managed specimen service as a at the moment available reply for some businesses operating SQL Server 2008 and SQL Server 2008 R2, which both will descend out of "extended guide" on July 9, 2019, becoming unsupported items. Azure SQL Database Managed illustration, which is a service managed with the aid of Microsoft, is described as being an zone in Microsoft's datacenters this is "dedicated to your wants and not shared with every other customers," according to this Microsoft blog submit. Azure SQL Database Managed instance makes consume of the SQL Server 2017 enterprise edition, which has "backward compatibility with SQL Server 2008 and more moderen" server items, Microsoft indicated.

    Microsoft moreover is planning to add a brand new trade vital tier to the Azure SQL Database Managed illustration carrier for businesses operating "mission-essential trade apps with tall I/O necessities." This company captious tier is expected to attain "conventional availability" (business liberate) on "December 1," according to Kumar. it should moreover own a lower-charge "reserved skill" prepaid alternative that'll subsist in response to a "1 or 3-12 months time epoch dedication" by means of groups, he added.

    Azure adventure Hubs for Apache KafkaMicrosoft introduced on Wednesday that Azure event Hubs for Apache Kafka has reached commonplace availability.

    essentially, Microsoft delivered aid for operating the Apache Kafka open source platform on Azure adventure Hubs, which is Microsoft's "cloud-native serverless solution" for managing "significant-scale, true-time movement ingestion." Microsoft is touting the consume of Apache Kafka on Azure in this manner because companies won't ought to bother with configuring it, nor will they ought to control servers or networks. businesses may not own to alternate their Kafka-based applications to get it work with Azure event Hubs, Microsoft promised.

    Azure SQL statistics WarehouseMicrosoft had a Great deal to declar in an announcement about growth to its Azure SQL information Warehouse product, which supports working queries across "petabytes of records." The "Gen 2" edition of Azure SQL statistics Warehouse become launched returned in April, the announcement mentioned.

    A coming "Workload value" characteristic will befriend optimize query execution on Azure SQL facts Warehouse. it is going to let companies "use a single SQL records Warehouse database to greater successfully sprint distinctive workloads, taking away the complexity of separate information warehouses for each and every answer," Microsoft defined. The Workload magnitude office will subsist attainable "later this yr at no extra charge."

    a new Row-stage safety office of Azure SQL statistics Warehouse has now reached time-honored availability status, Microsoft announced on Wednesday. Row-degree safety offers organizations more desirable control over who can entry information, in response to the statistics's region in rows of tables. This characteristic is supported by both "SQL authentication and Azure lively listing authentication," the announcement cited. businesses create protection guidelines based on "filter predicates" to handle entry, besides the fact that children Microsoft plans to add support for "block predicates" soon. Row-stage protection is currently accessible in "a few" Azure areas, but it surely's expected to subsist deployed worldwide "in the next two weeks." it is going to subsist attainable at no extra cost, the announcement indicated.

    Microsoft delivered management assist to Azure SQL statistics Warehouse by the consume of Azure marketing consultant and Azure monitor, in line with a Wednesday announcement. each of these tools are "configured by using default" to work with Azure SQL data Warehouse.

    Azure advisor now has an "Adaptive Cache" office for deciding on when to scale the cache. It additionally has a "desk Distribution" feature for addressing workload performance issues. Microsoft brought a "Tempdb" office to Azure marketing consultant in order that IT professionals can "take note when to scale and configure aid courses." Azure computer screen now suggests "close true-time metrics within the overview blade" for Azure SQL facts Warehouse, the announcement indicated.

    moreover, Azure video display now has a "Diagnostic Logs" means that can subsist configured to exhibit "historical query efficiency troubleshooting" advice, according to a Wednesday announcement. These diagnostic log views are similar to what can subsist viewed with the latest Dynamic administration Views strategy, however curiously they aren't as restricted. for instance, the announcement explained that "DMVs own a restrict of 10,000 rows that can without problems subsist passed for intensive enterprise information warehouse workloads with heavy query exercise." 

    developers now own entry to a preview of a "SQL Server information device" in visible Studio, which is bringing exchange management usher to Azure SQL Server statistics Warehouse, in response to a Wednesday announcement. it subsist a great deal for the following reasons, based on the announcement:

    at present, exchange administration and deployment for SQL DW is a non-trivial application where purchasers should build SQL and PowerShell scripts. This turns into an unmanageable taste as concomitant facts warehouse options can own over lots of of information pipelines and hundreds of database objects. This subject is exacerbated as information warehouse deployments usually own distinct environments for development, exams, and construction.

    Microsoft is promising that the SQL Server data device in visual Studio will add "a firstclass enterprise-grade progress taste to your up to date facts warehouse," without a more requisite for manual scripting.

    in regards to the author

    Kurt Mackie is senior information producer for the 1105 commercial enterprise Computing neighborhood.


    Microsoft declares Elastic SQL Database pools For Azure | killexams.com actual Questions and Pass4sure dumps

    developers and impartial application providers who regularly run a whole bunch — and even heaps — of separate databases for his or her purchasers now own a new option to manage them whereas conserving charges predictable.

    As Microsoft these days announced throughout its build developer conference keynote in San Francisco, its new Azure SQL Database elastic databases (yep, that’s the finished name) enable builders to accumulate their databases perquisite into a single pool to get sure they don’t over-provision particular databases best to subsist capable of win saturate of peak demand.

    As Microsoft’s corporate VP for its information platform T.ok. “Ranga” Rengarajan informed me earlier this week, Microsoft found that lots of its clients own been partitioning their valued clientele into distinct databases. bar nothing of those databases own distinctive useful resource necessities — “and people are mostly unpredictable,” he stated. “What they realized is that these SaaS providers requisite new tools to control and computer screen these databases.”

    2I8A9137

    With these elastic database pools, shoppers pay for the aggregate of the entire databases instead of for each one separately. whereas it’s complicated to augur the wants of every diverse database shard, the admixture is relatively predictable, Microsoft argues, and that makes it less demanding for organizations to exploit their database needs with this new service.

    Microsoft also says that this new database type will allow businesses to more readily sprint centralized queries and reporting tools throughout bar nothing of their databases. other points of the new provider consist of full-text search within databases, column-degree entry rights (some thing Microsoft additionally these days added for the universal Azure SQL databases), and true-time encryption of information and logs.

    These new points are now purchasable during the Azure Portal.


    70-762 Developing SQL Databases

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    70-762 exam Dumps Source : Developing SQL Databases

    Test Code : 70-762
    Test denomination : Developing SQL Databases
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    Developing SQL Databases

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    DevOps and Databases | killexams.com actual questions and Pass4sure dumps

    Key Takeaways
  • Database schema, including indexes, requisite to subsist in source control.
  • Data that controls trade logic such as lookup tables moreover requisite to subsist in source control.
  • Developers requisite a way to easily create local databases.
  • Shared database should only subsist updated via a build server. 
  • A robust DevOps environment requires having continuous integration for every component of the system. But far too often, the database is omitted from the equation, leading to problems from fragile production releases and inefficient progress practices to simply making it harder to onboard new programmers.

    In this article, they dispute the unique aspects of databases, both relational and NoSQL, in a successful continuous integration environment.

    The first issue to subsist addressed is source control and schemas. It is not usurp to own developers apply database changes in an ad hoc manner. That would subsist the equivalent to making changes to JavaScript files by editing them directly on the production server.

    When planning your source control for the database, get sure you capture everything. This includes, but is not limited to:

  • Tables or Collections
  • Constraints
  • Indexes
  • Views
  • Stored Procedures, Functions, and Triggers
  • Database configuration
  • You may subsist thinking, “I’m using a schemaless database so I don’t requisite source control”. But even then, you are going to requisite to account for indexes and overall database configuration settings. If your indexing scheme is different in your QA and production database, it will subsist very difficult to perform meaningful performance tests.

    There are two basic types of source control for databases, which we’ll summon “whole-schema” and “change script”.

    Whole-Schema Source Control

    “Whole-schema” source control is where your source control looks relish the way you want your database to look. When using this pattern, you can observe bar nothing the tables and views laid out exactly as they are meant to be, which can get it easier to understand the database without having to deploy it. 

    An specimen of whole-schema source control for SQL Server is SQL Server Data Tools(SSDT). In this tool bar nothing of your database objects are expressed in terms of CREATE scripts. This can subsist convenient when you want to prototype a new remonstrate using SQL, then paste the final draft directly into the database project under source control. 

    Another specimen of whole-schema source control is Entity Framework Migrations. Instead of SQL scripts, the database is primarily represented by C#/VB classes. But again, you can rep a pleasant picture of the database by browsing the source code.

    When working with whole-schema source control, you usually don’t write your migration scripts directly. The deployment tools design out what changes are needed for you by comparing the current state of the database with the idealized version in source control. This allows you to rapidly get changes to the database and observe the results. When using this type of tool, I rarely alter the database directly and instead allow the tooling to accomplish most of the work. 

    Occasionally the tooling isn’t enough, even with pre- and post- deployment scripts. In those cases, the generated migration script will own to subsist hand-modified by a database developer or DBA, which can atomize your continuous deployment scheme. This usually happens when there are major changes to a table’s structure, as the generated migration script can subsist inefficient in these cases.

    Another advantage of whole-schema source control; it supports code analysis. For example, if you alter the denomination of a column but forget to change it in a view, SSDT will return a compile error. Just relish static typing for application programming languages, this catches a lot of errors and prevents you from attempting to deploy clearly broken scripts. 

    Change Script Source Control

    The other option is “change script” source control. Instead of storing the database objects themselves, you store the list of steps necessary to create the database objects. The one I’ve used successfully in the past is Liquibase, but they bar nothing work pretty much the same. 

    The main advantage of a change script tool is you own full control of what the final migration script will quest like. This makes it easier to perform complex changes such as when tables are split or combined.

    Unfortunately, there are several disadvantages to this style of source control. The first is the requisite to write the change scripts. While it does give you more control, it is moreover very time consuming. It is much easier to just add a property to a C# class than to write out the ALTER TABLE script in longhand.

    This becomes even more problematic when working with things like SchemaBinding. For those who are unfamiliar with the term, this enables some advanced features in SQL Server by locking down the table schema. If you get changes to a table or view’s design, you own to first remove the SchemaBinding from any views touching the table or view. And if those views are schema-bound by other views, they too requisite to subsist temporarily unbound. bar nothing of this boilerplate, while effortless for a whole-schema source control tool to generate, is hard to accomplish correctly by hand.

    Another drawback of change script tools is they tend to subsist very opaque. For example, if you want to know the columns on a table without deploying it, you requisite to read every change script that touches the table. This makes it really effortless to miss something. 

    Which source control model to use?

    When starting a new database project from scratch, I always select whole-schema source control when available. This allows developers to work much faster and requires less learning to consume successfully so long as you own one person to set it up.

    For existing databases, especially ones in production for a number of years, change script source control is often more appropriate. Whole-schema tools get unavoidable assumptions about the database design, while change script tools work with any database. Also, whole-schema tools are harder to build so they may simply subsist not available for your particular database.

    Tables can subsist broadly classified as “managed”, “user”, or “hybrid” depending on the nature of the data they contain. The way you treat these tables is different depending on which category it falls into.

    Managed Tables

    A common mistake when putting databases under source control is forgetting the data. Invariably there are going to subsist “lookup tables” that hold data which users are not meant to modify. For example, this could accommodate table-drive logic for trade rules, the various status codes for a state machine, or just a list of key-value pairs that match an enum in the application code.

    The data in this type of table should subsist treated as source code. Changes to it requisite to evanesce through the very review and QA process you would consume for any other code change. And it is especially essential the changes are automatically deployed along with other application and database deployments, otherwise those changes may subsist accidentally forgotten.

    In SQL Server Data Tools, I handle this using a post-deployment script. In this script, I populate a temporary table with what the data should quest like, then consume a MERGE statement to update the actual table. 

    If your source control tool doesn’t handle this well, you could moreover build a stand-alone tool to perform the data updates. What’s essential isn’t how you accomplish it, but whether or not the process is effortless to consume and reliable.

    User tables are any table where a user can add or modify data. For their purposes, this includes both tables they can modify directly (e.g. denomination & address) and tables modified indirectly by their actions (e.g. shipping receipts, logs). 

    Real user data is almost never directly added to source control. However, it is a pleasant exercise to own realistic looking sample data available for progress and testing. This could subsist directly in the database project, stored elsewhere in source control, or if particularly large, kept on a separate file share.

    Hybrid Tables

    A hybrid table is one that stores both managed and user data. There are two ways this can subsist partitioned. 

    A column partition is when users can modify some columns, but not others. In this scenario, you treat the table just relish a routine managed table but with the additional restriction, you never update a user-controlled column. 

    A row partition is when you own unavoidable records users cannot modify. A common scenario I sprint into is the requisite for hard-coded values in the Users table. On larger systems, I may own a separate user ID for each micro-service that can get changes independently from any actual person. For example, a user may subsist called “Bank Data Importer”. 

    The best way I own found for managing row-partitioned hybrid tables is via reserved keys. When I define the identity/auto-number column, I’ll set the initial value at 1,000, leaving users 1 through 999 to subsist managed through source control. This requires a database that allows you to manually set a value in an identity column. In SQL Server, this is done via the SET IDENTITY_INSERTcommand. 

    Another option for dealing with this scenario is to own a column called “SystemControlled” or something to that effect. When set to 1/true, it means the application will not allow direct modifications. If set to 0/false, then the deployment scripts know to ignore it.

    Once you own the schema and data under source control, you can win the next step and start setting up individual developer databases. Just as each developer should subsist able to sprint their own instance of a web server, each developer who may subsist modifying the database design needs to subsist able to sprint their own copy of the database.

    This rule is frequently violated, to the determent of the progress team. Invariably developers making changes to a shared environment are going to meddle with each other. They may even rep into “deployment duels”, where two developers each try to deploy changes to the database. When this happens with a whole-schema tool, they will alternately revert the other’s changes without even realizing it. If using a change-script tool, the database may subsist placed in an indeterminate state where the migration scripts no longer work and it needs to subsist restored from backups.

    Another issue is schema drift. This is when the progress database no longer matches what’s in source control. Over time, developer databases tend to accumulate non-production tables, test scripts, temporary views, and other cruft to subsist cleared out. This is much easier to accomplish when each developer has their own database they can reset whenever they want.

    The final and most essential issue is that service and UI developers requisite stable platform to write their code. If the shared database is constantly in flux, they can’t work efficiently. At one company I worked at, it was not usual to observe developers shout, “services are down again” and then spend an hour playing video games while the shared database was achieve back together.

    The number one rule for a shared developer or integration database is no one should subsist modifying the database directly. The only way a shared database should subsist updated is via the build server and the continuous integration/deployment process. Not only does this avert schema drift, it allows scheduled updates to reduce disruptions.

    As a rule of thumb, I allow the shared developer database to subsist updated whenever a check-in is made the apposite branch. This can subsist well disruptive, but usually it is manageable. And you accomplish requisite a plot to verify the deployment scripts before they hit integration.

    For my integration databases, I tend to schedule deployments to befall once per day along with any services. This provides a stable platform which UI developers can work against. Few things are as frustrating to UI developers as not knowing if code that suddenly starts failing was their mistake or a problem in the services/database.

    An often-overlooked aspect of database management is security. Specifically, which users and roles own access to which tables, views, and stored procedures. In the bar nothing too close worst-case scenario, the application gets full access to the database. It can read and write to every column of every table, even ones it has no trade touching. Data breaches often result from exploitations of   flaws in a minor utility application with far more access rights than it needs. 

    The main objection to locking down the database is, “we don’t know what will break”. Because it has never been locked down before, developers literally own no plan what permissions the application actually needs.

    The solution to this is to achieve the license in source control from day one. This way, when the developer tests the application, it will fail from the onset if the permissions are incorrect. This in turn means by the time it gets to QA, bar nothing the permissions are settled and there is no guesswork or risk of a missing permission.

    Depending on the nature of your project, containerization of the database is an optional step. To illustrate why, I’ll tender two consume cases.

    For their first consume case, the project has a very simple branching structure: there is a “dev” branch that feeds into a QA branch, which in turn feeds into Staging and finally Production. This can subsist handled by four shared databases, one for each stage in the pipeline.

    In the second consume case, they own a set of major feature branches. Each major feature branch is further subdivide into a dev and QA branch. Features own to pass QA before becoming candidates for merging into the main branch, so each major feature needs its own test environment.

    In the first consume case, containerization is probably a waste of time even if your web services accomplish requisite containers. For the second consume case, containerization of some sort is critical. If not actual containers (e.g. Docker), then at least deployment scripts that can generate new environments as needed (e.g. AWS or Azure) when creating new major feature branches. 

    About the Author

    Jonathan Allen got his start working on MIS projects for a health clinic in the late 90's, bringing them up from Access and exceed to an enterprise solution by degrees. After spending five years writing automated trading systems for the financial sector, he became a consultant on a variety of projects including the UI for a robotic warehouse, the middle tier for cancer research software, and the Great data needs of a major actual estate insurance company. In his free time he enjoys studying and writing about martial arts from the 16th century.


    Microsoft Azure SQL Database nears parity with SQL Server | killexams.com actual questions and Pass4sure dumps

    SEATTLE -- After a two-year progress application to address its technical limitations, Microsoft Azure SQL Database is finally poised to become a more viable alternative to on-premises SQL Server systems for users who want to shift database applications to the cloud.

    Microsoft's R&D work is culminating in a flurry of new features and product offerings. For example, the vendor on Dec. 1 plans to launch a high-end version of its Azure SQL Database Managed Instance cloud platform for trade applications with heavy-duty I/O requirements. Managed Instance is an implementation of Microsoft Azure SQL Database that's almost functionally equivalent to SQL Server, according to Microsoft, which released a general-purpose version of the service at the start of October.

    At PASS Summit 2018, Microsoft moreover made available a public preview of its Machine Learning Services software running in the core Azure SQL Database platform. That follows preview releases in October of two other new technologies: a Hyperscale service tier that eliminates Azure SQL Database's 4 TB confine on database size, and an Accelerated Database Recovery feature built to speed up the process of recovering databases after a system failure.

    Hyperscale supports databases with up to 100 TB of data -- an increase that was welcome advice to Azure SQL Database user designate Freeman, a senior database administrator at tax, audit and management consulting services company BDO Global.

    "Right now, we're limited to 4 TB databases, and they just benign of blew the roof off of that," Freeman said at the conference.

    PASS Summit 2018 in Seattle Updates to Azure SQL Database were circumstantial and discussed at PASS Summit 2018. Separation policy on Azure databases

    Brussels-based BDO runs hundreds of databases on Microsoft Azure SQL Database, said Freeman, who works at the company's office in Columbus, Ohio. But the IT team had to split up larger databases because of the PaaS technology's previous size restriction, he added. As a result, operational data for individual countries can subsist spread across as many as seven separate databases, according to Freeman.

    Right now, we're limited to 4 TB databases, and they just benign of blew the roof off of that. designate Freemansenior DBA, BDO Global

    "Now they can achieve it bar nothing together in one plot without having to worry about recovering bar nothing of the databases," he said.

    Azure SQL Database moreover may now subsist able to handle older applications that BDO runs on Microsoft's SQL Server on Azure Virtual Machines platform because of their size, Freeman said. The latter technology is cloud-based, too, but it's an IaaS offering that requires database administrators (DBAs) to handle configuration, patching and other management tasks that Azure SQL Database automates.

    Until now, DBAs looking to migrate existing applications to the cloud typically had to consume SQL Server on Azure Virtual Machines. Microsoft Azure SQL Database was primarily geared to sprint new cloud-native applications due to the database size limitation and its want of support for some key SQL Server features, such as the SQL Server Agent job scheduler. That dampened its appeal to the installed base.

    "We knew there were some challenges with Azure SQL Database," said Rohan Kumar, corporate vice president of engineering for Azure data services and SQL Server at Microsoft.

    Speaking in the opening keynote session at PASS Summit 2018, Kumar added that Azure SQL Database Managed Instance aims to reduce the "friction" on cloud migrations that existing users encountered. SQL Server applications can subsist moved to a Managed Instance environment without any changes, he said. And the high-end Managed Instance trade captious version will enable users "to sprint their most mission-critical SQL Server workloads in Azure," Kumar claimed.

    A close feel for SQL Server users

    The Managed Instance technology is still a work in progress, said Denny Cherry, founder and principal consultant at Denny Cherry & Associates Consulting in Oceanside, Calif. But in an interview at the conference, Cherry said he expects user demand for Managed Instance deployments to increase once the trade captious service tier is available.

    "It's benign of the SQL Server you know," said Mike Walsh, president of Straight Path IT Solutions, a SQL Server consulting services company in Milton, N.H.

    The Managed Instance implementation of Microsoft Azure SQL Database can subsist pricey, Walsh famed during a conference session. On Microsoft's website, he set up a sample configuration with a compute cost of $150,000 per month for the maximum number of 80 vCore analytic CPUs. But users can rep discounts of up to 55% if they transfigure an existing SQL Server license to the cloud system, Walsh said.

    Beautycounter, a multilevel marketing company that sells skin care, makeup and bath products, runs SQL Server on the AWS cloud instead of Azure. In the past, the Amazon Relational Database Service (RDS) for SQL Server offered more functionality and options than Microsoft Azure SQL Database did, said Steve Rezhener, a database engineer at Beautycounter, which is based in Santa Monica, Calif., and formally known as Counter Brands LLC.

    Azure SQL Database Managed Instance doesn't fully change that, Rezhener said in an interview at the conference. "But at least the features are on par with RDS," he added. "It looks relish it's on-premises SQL Server."

    At PASS Summit 2018, the annual conference of the Professional Association for SQL Server user group, Microsoft moreover launched the second release of SQL Server 2019 under its Community Technology Preview program. CTP 2.1 adds the ability to sprint R and Python applications in the Great data clusters that SQL Server 2019 supports, plus other new features. Microsoft's goal is to release a preview every month, Kumar said.


    Servomex Selects ITTIA DB SQL Embedded Database for Gas Analysis in Mission captious Systems | killexams.com actual questions and Pass4sure dumps

    November 14, 2018 — Bellevue, WA — ITTIA today announced that Servomex Group, a world leader in gas analysis technology, has chosen ITTIA DB SQL for device data management in its next generation leading-edge gas analyzers. With ITTIA DB SQL, Servomex embedded systems are empowered to store, analyze, and share real-time data. Performance, cross-platform development, and tall availability each played an essential role in Servomex’s selection.

    For decades, Servomex industrial gas analyzers own controlled emissions, optimized processes, and ensured operational safety in markets such as electricity generation, oil and gas refining, semiconductor manufacturing, chemical production, and medical devices. To build its next generation of analyzers, Servomex investigated for a high-performance embedded database with scalability, flexibility and interoperability in mind.

    Tony Dodd, Servomex Systems Architect, said, “Servomex’s selection of ITTIA DB SQL for consume within their next generation solutions is based on a combination of ITTIA characteristics including technical capability/performance, breadth and ease of OS and middleware integration, value, commercial clarity and flexibility and, most importantly, a demonstrable commitment to maintaining a long term mutually advantageous working relationship. ITTIA own consistently delivered on their promises.”

    “ITTIA DB SQL is designed for developers of embedded systems and devices to manage great volume of data on edge devices. Performance, ease of consume and reliability provides Great value for manufacturers of industrial automation and they are privileged with Servomex’s selection of their embedded database for its next generation product lines,” said ITTIA President Sasan Montaseri.

    Availability

    ITTIA DB SQL is available for evaluation and download:

    https://www.ittia.com/products/ittia-db-sql/evaluation

    About Servomex Group Ltd

    An acknowledged innovator in gas analysis technologies for more than 60 years, Servomex is the originator of and world leader in paramagnetic sensing technology and has an exceptional reputation in the progress of zirconia, photometric, and thick film technologies. The result is high-performance, cost-effective gas analysis, delivered through a portfolio of dependable products ranging from portable gas analyzers to complex process solutions. Servomex has extensive taste of working with multi-national companies across a ambit of industries, including hydrocarbon processing, industrial gas, and OEM markets, ensuring its learning and expertise closely matches the requirements of its customers. Servomex's commitment to providing a complete industry solution to gas analysis extends across its business, with its Hummingbird Sensing Technology brand delivering Servomex technology to OEM partners and the recently-acquired Delta F Corporation extending the Servomex product offering through oxygen and moisture analysis technologies. Servomex is allotment of Spectris plc, a leading supplier of instrumentation and controls to global markets. Visit www.servomex.com.

    About ITTIA

    ITTIA offers database solutions for platforms where limited memory, storage, and processing power makes software progress challenging. ITTIA develops fast, tall performance database products and tools with the goal of providing excellent data management software for embedded systems and devices. ITTIA products are designed to subsist suitable for mission captious application progress and deployment at significantly reduced cost. ITTIA customers comprise Fresenius Medical Devices, Puget Sound Energy, GlaxoSmithKline, Moodys, Sandia National Laboratory, Servomex and many others.

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