Webinar: Building Big Data Applications with Hadoop & Spring

At Pivotal we are bringing two open source projects together -- Hadoop and the very rapid and widely used Spring java application development framework to help build 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. In this month's webinar James Williams will explore how Spring XD (Xtreme Data) is addressing Big Data Application needs including:

  • 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.

Date: Thursday, October 3, 2013 Time: 9:00 AM, PST/5:00 PM, GMT Summer Time



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