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Apache Hadoop is open-source software for storing and analyzing massive amounts of structured and unstructured data–terabytes or more of everything from emails to sensor readings to server logs to Twitter feeds to GPS signals to just about anything else you can think of. Hadoop can process big, messy data sets for insights and answers–which helps explain all the buzz around it.
Created in 2005 by Mike Cafarella and Doug Cutting (who named it after his son’s toy elephant), Hadoop was originally intended for web-related search data. Today, it’s an open-source, community-built project of the Apache Software Foundation that’s used in all kinds of organizations and industries. Microsoft is an active contributor to the community development effort.
HDInsight is a Hadoop distribution powered by the cloud. This means HDInsight was architected to handle any amount of data, scaling from terabytes to petabytes on demand.
And since it’s 100% Apache Hadoop, HDInsight can process unstructured or semi-structured data from web clickstreams, social media, server logs, devices and sensors, and more. This allows you to analyze new sets of data which uncovers new business possibilities to drive your organization forward.
1. Hadoop with No Hassle
Quickly build a Hadoop cluster in minutes when you need it, and delete it when your work is done. Choose the right cluster size to optimize for time to insight or cost. Seamlessly integrate HDInsight into your existing analysis workflows with Azure PowerShell and Azure Command-Line Interface.
2. Open and Flexible
Based on 100% Apache Hadoop, HDInsight enables your big data solutions to run in Azure. In addition, with Hortonworks Data Platform (HDP), you can also run your big data applications on Windows Server or Linux. This flexibility is unique in the industry and allows you to take advantage of existing Apache Hadoop projects including Apache Pig, Hive, Sqoop and much more.
3. Insights through Excel
Empower users to gain actionable insights by analyzing unstructured data from HDInsight in Microsoft Excel. Mash up results from HDInsight with data from internal, external, relational and non-relational sources. Use Microsoft Excel’s advanced technology such as Power Query, PowerPivot and Power View to perform dynamic analysis on the combined data set. Map your data easily with Power Map, a powerful 3D mapping tool in Excel 2013.
4. Build Big Data Apps your Way
For developers, HDInsight offers programmability with your choice of language, including Java, .NET, and other languages. .NET developers can use the power of language-integrated query with LINQ to Hive. Database developers can take advantage of existing SQL skills to query and transform data through Hive.
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