Big Data Solution
Microsoft’s end-to-end roadmap for Big Data embraces Apache Hadoop™ by distributing enterprise class Hadoop based solutions on both Windows Server and Windows Azure. The roadmap includes Microsoft BI tools such as SQL Server Analysis Services, Reporting Services and even PowerPivot and Excel. This enables you to do BI on all your data, including those in Hadoop.
On the more technical front, we have been working on a simplified download, installation and configuration experience of several Hadoop related technologies, including HDFS, Hive, and Pig, which will help broaden the adoption of Hadoop in the enterprise.
The Hadoop based service for Windows Azure will allow any developer or user to submit and run standard Hadoop jobs directly on the Azure cloud with a simple user experience. Therefore it doesn’t matter what platform you are developing your Hadoop jobs on -you will always be able to take a standard Hadoop job and deploy it on our platform, as we strive towards full interoperability with the official Apache Hadoop distribution.
This is great news as it lowers the barrier for building Hadoop based applications while encouraging rapid prototyping scenarios in the Windows Azure cloud for Big Data.To facilitate all of this, we have also entered into a strategic partnership with Hortonworks that enables us to gain unique experience and expertise to help accelerate the delivery of Microsoft’s Hadoop based distributions on both Windows Server and Windows Azure.
Finally, in line with our commitment to Interoperability and to facilitate the high performance bi-directional movement of enterprise data between Apache Hadoop and Microsoft SQL Server, we have released two Hadoop-based connectors for SQL Server to manufacturing.
The SQL Server connector for Apache Hadoop lets customers move large volumes of data between Hadoop and SQL Server 2008 R2, while the SQL Server PDW connector for Apache Hadoop moves data between Hadoop and SQL Server Parallel Data Warehouse (PDW). These new connectors will enable customers to work effectively with both structured and unstructured data.
For more information see http://www.microsoft.com/bigdata