Speakers: Nikesh Shah, Mark Fisher, James Williams

At Pivotal we are bringing 2 open source projects together -- Hadoop and the very rapid and widely used Spring Java application development framework to help Big Data Applications. While Hadoop is proving to be the defacto foundation for storing and processing data, real-world scenarios require much more. Millions of developers are already using Spring to create high performing, easily testable, reusable code without any lock-in. Adding Spring into the Hadoop equation we take out the complexity of building big data applications. In this month's webinar we will explore how Spring XD (Xtreme Data) is addressing Big Data Application needs such as: High throughput distributed data ingestion into HDFS from a variety of input sources. Real-time analytics at ingestion time, e.g. gathering metrics and counting values. Hadoop workflow management via batch jobs. High throughput data export, e.g. from HDFS to a RDBMS or NoSQL database. This is a can't miss presentation for anyone wanting to understand design, configuration and deployment of Hadoop-powered applications.

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