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70-463 Implementing a Data Warehouse with Microsoft SQL Server 2012/2014

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Test Code : 70-463
Test Name : Implementing a Data Warehouse with Microsoft SQL Server 2012/2014
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Microsoft Implementing a Data Warehouse

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Azure SQL records Warehouse Leads New Microsoft information products | killexams.com Real Questions and Pass4sure dumps

Azure SQL facts Warehouse Leads New Microsoft facts products

a new Azure SQL statistics Warehouse preview provided as a counter to Amazon's Redshift headed a couple of records-connected announcements on the opening of the Microsoft construct conference today.

additionally being announced have been Azure statistics Lake and "elastic databases" for Azure SQL Database, further demonstrating the enterprise's center of attention on assisting purchasers enforce and help a "statistics culture" wherein analytics are used for widely wide-spread enterprise choices.

"The information announcements are entertaining as a result of they demonstrate an evolution of the SQL Server technology against a cloud-first strategy," IDC analyst Al Hilwa advised this web page. "a lot of these capabilities like elastic question are geared for cloud techniques, however Microsoft will differentiate from Amazon by means of also offering them for on-premises deployment. other capabilities like data Lake, elastic databases and statistics Warehouse are concentrated on greater statistics units that are customarily born within the cloud. The volumes of data supported here builds on Microsoft's persistent investments in datacenters."

Azure SQL records Warehouse should be available as a preview in June, Microsoft introduced all over the construct opening keynote. It changed into designed to provide petabyte-scale facts warehousing as a service that can elastically scale to go well with company needs. In comparison, the Amazon internet capabilities Inc. (AWS) Redshift -- unveiled more than two years in the past -- is described as "a quick, fully managed, petabyte-scale statistics warehouse answer that makes it standard and low-priced to efficiently analyze your whole facts using your latest company intelligence equipment."

Azure SQL Data Warehouse [Click on image for larger view.] Azure SQL facts Warehouse (source: Microsoft)

Microsoft stated what it noted are numerous merits that Azure SQL statistics Warehouse offers over AWS Redshift, such because the means to independently regulate compute and storage, as hostile to Redshift's mounted compute/storage ratio. concerning elasticity, Microsoft described its new service as "the business’s first business-class cloud statistics warehouse as a service that can grow, decrease and pause in seconds," whereas it might take hours or days to resize a Redshift service. Azure SQL facts Warehouse also comes with a hybrid configuration option for hosting within the Azure cloud or on-premises -- as antagonistic to cloud-most effective for Redshift -- and presents pause/resume functionality and compatibility with proper SQL queries, the business mentioned. Redshift has no guide for indexes, SQL UDFs, kept processes or constraints, Microsoft referred to.

businesses can use the new offering together with different Microsoft facts equipment equivalent to PowerBI, Azure desktop getting to know, Azure HDInsight and Azure facts factory.

talking of alternative facts offerings, the Azure statistics Lake repository for large statistics analytics project workloads provides one device for storing structured or unstructured statistics in native formats. It follows the vogue -- disparaged by way of some analysts -- pioneered by way of agencies similar to Pivotal software Inc. and its business information Lake. it might work with the Hadoop dispensed File system (HDFS) so it will also be integrated with quite a number different tools within the Hadoop/large statistics ecosystem, together with Cloudera and Hortonworks Hadoop distributions and Microsoft's own Azure HDInsight and Azure machine researching.

For straight SQL-primarily based analytics, Microsoft delivered the concept of elastic databases for Azure SQL Database, its cloud-based mostly SQL Database-as-a-carrier (DBaaS) offering. Azure SQL Database elastic databases reportedly supply one pool to help companies control dissimilar databases and provision features as mandatory.

The elastic database pools let enterprises pay for all database usage directly and facilitate the working of centralized queries and reviews throughout all information outlets. The elastic databases help full-textual content search, column-degree entry rights and fast encryption of facts. They "permit ISVs and application-as-a-service developers to pool capacity throughout hundreds of databases, enabling them to improvement from productive resource consumption and the optimum price and performance within the public cloud," Microsoft noted in a news free up.

Posted by means of David Ramel on 04/29/2015 at 12:26 PM


be cautious when imposing records warehouse automation | killexams.com Real Questions and Pass4sure dumps

The conception of devops has taken root on earth of company intelligence and analytics.

The standard theory of devops has been around for ages in ordinary IT departments as they sought to extend and refine the way that they implemented utility and functions. The core of devops in the world of analytics is called DWA (statistics warehouse automation), which links collectively the design and implementation of analytical environments into repeatable techniques and will cause expanded data warehouse and statistics mart great, in addition to lowered time to implement these environments.

alas, for several factors the theory of records warehouse automation isn't a silver bullet when it comes to the implementation of analytical environments.

One purpose is that you just truly mustn't automate ideas earlier than you absolutely take into account them. because the saying goes, do not put your complications on roller skates. Automating a broken system handiest capability that you simply make errors quicker. Now, while I often advocate the conception of failing faster to discover the optimum answer to an analytical difficulty, I do not basically believe the conception of provisioning fallacious database buildings very promptly most effective to rebuild them later.

a further situation with making use of devops to analytical practices is that the application development neighborhood has a ten-15 12 months head beginning on the analytical neighborhood when it involves productizing features of their craft.

software builders have spent years researching how to most excellent encapsulate their designs into object-oriented design, kit that competencies, and put it in libraries for use by means of different materials of the corporation, or even by means of different companies. sadly, the design, structure, and implementation of analytical accessories, akin to statistics fashions, dashboard design, and database administration, are considered as an paintings and still event cultural resistance to the concept that a technique can repeat the artistry of a data mannequin or a dashboard design.

eventually, there's the fantasy that data warehouse automation or any devops apply can exchange the real idea approaches that go into the design of an analytical atmosphere.

With the right techniques and cultural purchase-in, DWA will deliver an organization with the capacity to leverage their technical groups and improve the implementation time of alterations in analytical environments. despite the fact, devoid of that stage of self-discipline to standardize the appropriate add-ons and embody artistry on the problematic bits, businesses will take the conception of facts warehouse automation and fail miserably in their efforts to automate.

here is decent tips for any DWA follow.

  • Use the correct design process and have interaction the analytical implementation teams. with out this level of forethought and cultural purchase-in, the manner turns into more of an argument than it does a advantage and in reality takes longer to enforce than a traditional approach.
  • discover the appropriate technologies to use. There are DWA systems attainable to use, however there are additionally toolsets akin to scripting and construction environments that may provide plenty of the implementation value of a knowledge warehouse automation answer. The right ambiance for your crew's skills and funds will go an extended solution to both validating a DWA practice or displaying its limitations.
  • Iterate and enrich. simply as DWA is designed to iterate the development of analytical environments, information warehouse automation practices should have the same stage of new release. birth small. ultimate the implementation. expand the scope. Repeat.
  • this article is published as part of the IDG Contributor community. want to be part of?


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    Implementing a Data Warehouse with Microsoft SQL Server 2012/2014

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    MCSA SQL Server 2012/2014 Training | killexams.com real questions and Pass4sure dumps

    No result found, try new keyword!The course focuses on teaching individuals how to use SQL Server 2014 product features and tools related to maintaining a database. Implementing a Data Warehouse with Microsoft SQL Server, This course ...

    Finally I am MCSA | killexams.com real questions and Pass4sure dumps

    I have recently obtained the certification Microsoft Certified Solutions Associate: SQL Server 2012/2014.I began with this path almost 2 years ago, back then i wrongly thought that the MCP will be enough for me, and then I decided to get out of my comfort zone and look forward to finish the certification to the next step, and here they are, after a long struggle and a lot of blood and tears, I made it 🙂

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  • Administering Microsoft SQL Server 2012/2014 Databases
  • Implementing a Data Warehouse with Microsoft SQL Server 201S2/2014
  • And now for 2016, it only requires 2.

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    One of the hardest test of my life

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  • Azure SQL Data Warehouse Leads New Microsoft Data Products | killexams.com real questions and Pass4sure dumps

    Azure SQL Data Warehouse Leads New Microsoft Data Products

    A new Azure SQL Data Warehouse preview offered as a counter to Amazon's Redshift headed several data-related announcements at the opening of the Microsoft Build conference today.

    Also being announced were Azure Data Lake and "elastic databases" for Azure SQL Database, further demonstrating the company's focus on helping customers implement and support a "data culture" in which analytics are used for everyday business decisions.

    "The data announcements are interesting because they show an evolution of the SQL Server technology towards a cloud-first approach," IDC analyst Al Hilwa told this site. "A lot of these capabilities like elastic query are geared for cloud approaches, but Microsoft will differentiate from Amazon by also offering them for on-premises deployment. Other capabilities like Data Lake, elastic databases and Data Warehouse are focused on larger data sets that are typically born in the cloud. The volumes of data supported here builds on Microsoft's persistent investments in datacenters."

    Azure SQL Data Warehouse will be available as a preview in June, Microsoft announced during the Build opening keynote. It was designed to provide petabyte-scale data warehousing as a service that can elastically scale to suit business needs. In comparison, the Amazon Web Services Inc. (AWS) Redshift -- unveiled more than two years ago -- is described as "a fast, fully managed, petabyte-scale data warehouse solution that makes it simple and cost-effective to efficiently analyze all your data using your existing business intelligence tools."

    Azure SQL Data Warehouse [Click on image for larger view.] Azure SQL Data Warehouse (source: Microsoft)

    Microsoft pointed out what it said are numerous advantages that Azure SQL Data Warehouse provides over AWS Redshift, such as the ability to independently adjust compute and storage, as opposed to Redshift's fixed compute/storage ratio. Concerning elasticity, Microsoft described its new service as "the industry’s first enterprise-class cloud data warehouse as a service that can grow, shrink and pause in seconds," while it could take hours or days to resize a Redshift service. Azure SQL Data Warehouse also comes with a hybrid configuration option for hosting in the Azure cloud or on-premises -- as opposed to cloud-only for Redshift -- and offers pause/resume functionality and compatibility with true SQL queries, the company said. Redshift has no support for indexes, SQL UDFs, stored procedures or constraints, Microsoft said.

    Enterprises can use the new offering in conjunction with other Microsoft data tools such as PowerBI, Azure Machine Learning, Azure HDInsight and Azure Data Factory.

    Speaking of other data offerings, the Azure Data Lake repository for Big Data analytics project workloads provides one system for storing structured or unstructured data in native formats. It follows the trend -- disparaged by some analysts -- pioneered by companies such as Pivotal Software Inc. and its Business Data Lake. It can work with the Hadoop Distributed File System (HDFS) so it can be integrated with a range of other tools in the Hadoop/Big Data ecosystem, including Cloudera and Hortonworks Hadoop distributions and Microsoft's own Azure HDInsight and Azure Machine Learning.

    For straight SQL-based analytics, Microsoft introduced the concept of elastic databases for Azure SQL Database, its cloud-based SQL Database-as-a-Service (DBaaS) offering. Azure SQL Database elastic databases reportedly provide one pool to help enterprises manage multiple databases and provision services as needed.

    The elastic database pools let enterprises pay for all database usage at once and facilitate the running of centralized queries and reports across all data stores. The elastic databases support full-text search, column-level access rights and instant encryption of data. They "allow ISVs and software-as-a-service developers to pool capacity across thousands of databases, enabling them to benefit from efficient resource consumption and the best price and performance in the public cloud," Microsoft said in a news release.

    Posted by David Ramel on 04/29/2015 at 12:26 PM



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    References :


    Dropmark : http://killexams.dropmark.com/367904/10847597
    Issu : https://issuu.com/trutrainers/docs/70-463
    Scribd : https://www.scribd.com/document/352583256/Pass4sure-70-463-Implementing-a-Data-Warehouse-with-Microsoft-SQL-Server-2012-2014-exam-braindumps-with-real-questions-and-practice-software
    Dropmark-Text : http://killexams.dropmark.com/367904/12942099
    Blogspot : http://killexamsbraindump.blogspot.com/2018/01/kill-your-70-463-exam-at-first-attempt.html
    Wordpress : https://wp.me/p7SJ6L-2JU
    Box.net : https://app.box.com/s/8sgyetzcge0f6ge9lqg5b2vp82ucmcvn






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