Azure HDInsight deploys and provisions managed Apache Hadoop clusters in the cloud, providing a software framework designed to process, analyze, and report on big data with high reliability and availability. HD Insight uses the Hort on works Data Platform (HDP) Hadoop distribution. Hadoop often refers to the entire Hadoop ecosystem of components, which includes Apache HBase, Apache Spark, and Apache Storm, as well as other technologies under the Hadoop umbrella.
What is big data?
Big data refers to data being collected in ever-escalating volumes, at increasingly higher velocities, and in an expanding variety of unstructured formats and variable semantic contexts.
Big data describes any large body of digital information, from the text in a Twitter feed, to the sensor information from industrial equipment, to information about customer browsing and purchases on an online catalog. Big data can be historical (meaning stored data) or real-time (meaning streamed directly from the source).
For big data to provide actionable intelligence or insight, not only must you collect relevant data and ask the right questions, but also the data must be accessible, cleaned, analyzed, and then presented in a useful way. That’s where big data analysis on Hadoop in HD Insight can help.
Overview of the Hadoop ecosystem on HDInsight
HD Insight is a cloud implementation on Microsoft Azure of the rapidly expanding Apache Hadoop technology stack that is the go-to solution for big data analysis. It includes implementations of Apache Spark, HBase, Storm, Pig, Hive, Sqoop, Oozie, Ambari, and so on. HD Insight also integrates with business intelligence (BI) tools such as Power BI, Excel, SQL Server Analysis Services, and SQL Server Reporting Services.
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