{"id":3073,"date":"2012-10-24T06:00:00","date_gmt":"2012-10-24T13:00:00","guid":{"rendered":"https:\/\/blogs.technet.microsoft.com\/dataplatforminsider\/2012\/10\/24\/simplifying-big-data-for-the-enterprise\/"},"modified":"2024-01-22T22:49:31","modified_gmt":"2024-01-23T06:49:31","slug":"simplifying-big-data-for-the-enterprise","status":"publish","type":"post","link":"https:\/\/www.microsoft.com\/en-us\/sql-server\/blog\/2012\/10\/24\/simplifying-big-data-for-the-enterprise\/","title":{"rendered":"Simplifying Big Data for the Enterprise"},"content":{"rendered":"<p>Earlier this year we announced partnerships with key players in the Apache Hadoop community to ensure customers have all the necessary solutions to connect with, manage and analyze big data. Today we\u2019re excited to provide an update on how we\u2019re working to broaden adoption of Hadoop with the simplicity and manageability of Windows.<\/p>\n<p>First, we\u2019re releasing new previews of our Hadoop-based solutions for Windows Server and Windows Azure, now called Microsoft HDInsight Server for Windows and Windows Azure HDInsight Service. Today, customers can access the first community technology preview of Microsoft HDInsight Server and a new preview of Windows Azure HDInsight Service at <a href=\"http:\/\/www.microsoft.com\/BigData\">Microsoft.com\/BigData<\/a>. Both of these new previews make it easier to configure and deploy Hadoop on the Windows platform, and enable customers to apply rich business intelligence tools such as Microsoft Excel, PowerPivot for Excel and Power View to pull actionable insights from big data.<\/p>\n<p>Second, we are expanding our partnership with Hortonworks, a pioneer in the Hadoop community and a leading contributor to the Apache Hadoop project. This expanded partnership will enable us to provide customers access to an enterprise-ready version of Hadoop that is fully compatible with Windows Server and Windows Azure.<\/p>\n<p>To download Microsoft HDInsight Server or Windows Azure HDInsight Service, or for more information about our expanded partnership with Hortonworks, visit <a href=\"http:\/\/www.microsoft.com\/BigData\">Microsoft.com\/BigData<\/a> today.<\/p>\n<p>-David Campbell, Microsoft Technical Fellow<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Earlier this year we announced partnerships with key players in the Apache Hadoop community to ensure customers have all the necessary solutions to connect with, manage and analyze big data. Today we\u2019re excited to provide an update on how we\u2019re working to broaden adoption of Hadoop with the simplicity and manageability of Windows.<\/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":[2448],"topic":[2451],"coauthors":[2487],"class_list":["post-3073","post","type-post","status-publish","format-standard","hentry","content-type-updates","topic-big-data","review-flag-1593580427-503","review-flag-new-1593580247-437","review-flag-partn-1593580278-264"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v27.2 - https:\/\/yoast.com\/product\/yoast-seo-wordpress\/ -->\n<title>Simplifying Big Data for the Enterprise - 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\/2012\/10\/24\/simplifying-big-data-for-the-enterprise\/\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"Simplifying Big Data for the Enterprise - Microsoft SQL Server Blog\" \/>\n<meta property=\"og:description\" content=\"Earlier this year we announced partnerships with key players in the Apache Hadoop community to ensure customers have all the necessary solutions to connect with, manage and analyze big data. 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