{"id":1573,"date":"2014-01-27T09:00:00","date_gmt":"2014-01-27T17:00:00","guid":{"rendered":"https:\/\/blogs.technet.microsoft.com\/dataplatforminsider\/2014\/01\/27\/new-data-science-whats-next\/"},"modified":"2024-01-22T22:49:03","modified_gmt":"2024-01-23T06:49:03","slug":"new-data-science-whats-next","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/2014\/01\/27\/new-data-science-whats-next\/","title":{"rendered":"New Data Science \u2013 What\u2019s Next?"},"content":{"rendered":"

While every organization is different, their \u201cbig data\u201d is often very similar.\u00a0 It typically comprises massive amounts of data across sources such as social media, clickstream, server logs, financial transactions, videos, and sensor data to name a few. This data was once thought of as low to medium value or even \u2018exhaust data\u2019 \u2013 too big and too expensive to store and utilize.<\/p>\n

With the advent of a new approach to enterprise data, many organizations are adopting a modern data architecture in which Hadoop is being used in conjunction with existing systems.<\/p>\n

Join Microsoft<\/b> and Hortonworks<\/b> on February 27th<\/sup> from 8:00 to 12:30 for a discussion on how the Big Data platform is evolving and how you can use Big Data to drive innovation in your organization. You\u2019ll learn about the upcoming capabilities of Hadoop 2.0 as well as how to derive actionable insights from your data assets.\u00a0\u00a0 To register for this event click here<\/a>.<\/p>\n","protected":false},"excerpt":{"rendered":"

While every organization is different, their \u201cbig data\u201d is often very similar.\u00a0 It typically comprises massive amounts of data across sources such as social media, clickstream, server logs, financial transactions, videos, and sensor data to name a few.<\/p>\n","protected":false},"author":1457,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"_classifai_error":"","_classifai_text_to_speech_error":"","footnotes":""},"post_tag":[],"product":[],"content-type":[2445],"topic":[],"coauthors":[2487],"class_list":["post-1573","post","type-post","status-publish","format-standard","hentry","content-type-thought-leadership"],"yoast_head":"\nNew Data Science \u2013 What\u2019s Next? - Microsoft SQL Server Blog<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/2014\/01\/27\/new-data-science-whats-next\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"New Data Science \u2013 What\u2019s Next? 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