How to Leverage Mainframe Data with Hadoop: Bridging the Gap Between Big Iron & Big Data.

Your mainframe powers mission-critical applications throughout the enterprise, collecting, generating and processing tons of corporate data. You know you can’t afford to neglect this critical data because leveraging mainframe data in Hadoop can create a remarkable competitive advantage. However, exploiting this data without the right tools is nearly impossible, requiring you to wrestle with thousands of lines of Java, Pig, Hive, COBOL and more.

Syncsort—with its decades of mainframe expertise—has joined forces with Cloudera and developed a smarter approach to leveraging mainframe data with Hadoop. In this session, subject matter experts from Syncsort and Cloudera will present a painless and seamless approach to exploiting all your data, including mainframe. Because, after all, mainframe data is Big Data too!

Attend this session to learn how to bridge the technical, skill and cost gaps between mainframe and Hadoop. Speakers will cover the top challenges of ingesting and processing mainframe data in Hadoop—and how to solve them. Topics include:

• Mainframe to Hadoop connectivity. How to read files directly from the mainframe and load them into HDFS
• Data translation. How to understand and translate mainframe data into a Hadoop-friendly format
• Data processing. How to easily develop and deploy common data flows with mainframe data in Hadoop
• Deployment and administration. How to deploy, administer, and monitor your Hadoop environment with Cloudera Manager

This session is sponsored by Syncsort