{"id":103118,"date":"2019-11-04T15:28:46","date_gmt":"2019-11-04T15:28:46","guid":{"rendered":"https:\/\/news.microsoft.com\/?p=435071"},"modified":"2019-11-04T15:28:46","modified_gmt":"2019-11-04T15:28:46","slug":"how-microsoft-re-envisioned-the-data-warehouse-with-azure-synapse-analytics","status":"publish","type":"post","link":"https:\/\/sickgaming.net\/blog\/2019\/11\/04\/how-microsoft-re-envisioned-the-data-warehouse-with-azure-synapse-analytics\/","title":{"rendered":"How Microsoft re-envisioned the data warehouse with Azure Synapse Analytics"},"content":{"rendered":"
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About four years ago<\/span>,<\/span> the <\/span>Microsoft Azure<\/span> team began to <\/span>notice <\/span>a <\/span>big <\/span>problem <\/span>troubl<\/span>ing<\/span> many of its customers. A mass migration to the cloud was in full swing, <\/span>as <\/span>enterprises<\/span> signed up by the thousands to reap the <\/span>benefits<\/span> of <\/span>flexible<\/span>, large<\/span>\u2013<\/span>scale<\/span> computing <\/span>and data storage. B<\/span>ut the next<\/span> iteration of that<\/span> tech revolution, in which companies would <\/span>use <\/span>their growing stores of data to <\/span>get <\/span>more <\/span>tangible business benefits, <\/span>had<\/span> stalled. <\/span><\/p>\n

T<\/span>echnology providers, including Microsoft, ha<\/span>ve <\/span>built a variety of systems <\/span>to<\/span> collect, <\/span>retrieve<\/span> and a<\/span>nalyze<\/span> enormous<\/span> troves of information that would uncover market trends and insights<\/span>, <\/span>paving the<\/span> way<\/span> toward<\/span> a new era of <\/span>improved <\/span>customer service, innovation and efficiency<\/span>.<\/span><\/p>\n

But those systems were built independently by different engineering teams and sold as individual products and services. They weren\u2019t designed to connect with <\/span>one<\/span> an<\/span>other, and customers would have to learn how to operate them separately, wasting time, money and precious IT <\/span>talent<\/span>. <\/span><\/p>\n

\u201cInstead of trying to add more features to each of our services, we decided to take a step back and figure out how to <\/span>bring their core capabilities <\/span>together to make it easy for customers to <\/span>collect and a<\/span>nalyze<\/span> all <\/span>of <\/span>their <\/span>increasingly diverse <\/span>data, to break down<\/span> data<\/span> silos and work together more <\/span>collaboratively<\/span>,\u201d said Raghu Ramakrishnan, Microsoft\u2019s chief technology officer for data.<\/span><\/p>\n

At its Ignite conference this week in Orlando, Florida, Microsoft announced the end result <\/span>of a <\/span>years<\/span>\u2013<\/span>long<\/span> effort to address th<\/span>e <\/span>problem<\/span>: <\/span>Azure Synapse Analytics<\/span><\/a>,<\/span> a <\/span>new<\/span> service that merges the capabilities of <\/span>Azure <\/span>SQL Data Warehouse<\/span> with<\/span> new <\/span>enhancements such as <\/span>on-demand query as a service<\/span>.<\/span><\/p>\n

Microsoft <\/span>said<\/span> this new offering will help customers put their data to work much more quickly, productively and securely<\/span> by <\/span>pulling together insights from all data sources, data warehouses and big data analytics systems<\/span>. <\/span>And, the company <\/span>said<\/span>, with<\/span> deeper integration between <\/span>Power BI<\/span><\/a> and Azure Machine Learning, Azure Synapse<\/span> Analytics<\/span> can reduce<\/span> the time required to process and share <\/span>th<\/span>at<\/span> data<\/span>,<\/span> speeding up<\/span> the <\/span>insights <\/span>that <\/span>businesses can <\/span>glean<\/span>.<\/span><\/p>\n

What\u2019s more, it will allow many more businesses to take advantage of game-changing technologies like data analytics and <\/span>artificial intelligence<\/span><\/a>, which are helping <\/span>scientists <\/span>to <\/span>better predict the weather, <\/span>search<\/span> engines <\/span>to <\/span>better understand people\u2019s intent and workers <\/span>to <\/span>more easily handle mundane tasks.<\/span><\/p>\n

This newest effort to break down data silos also <\/span>builds on <\/span>other <\/span>Microsoft <\/span>projects, <\/span>such as the <\/span>Open Data Initiative<\/span><\/a> and<\/span> Azure Data Share<\/span><\/a>,<\/span> which allows you to share data from multiple <\/span>sources and even other organizations<\/span>. <\/span><\/p>\n

Microsoft <\/span>said<\/span> Azure Synapse Analytics is <\/span>also <\/span>designed to<\/span> support the increasingly popular D<\/span>evOps <\/span>strategy, in which <\/span>development and operations staff <\/span>collaborate more closely to <\/span>creat<\/span>e<\/span> and <\/span>implement<\/span>\u202fservice<\/span>s that work better throughout their lifecycle<\/span>s<\/span>.<\/span><\/p>\n

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