Data Set Management System for Hadoop

Sponsored Sessions Ballroom G

Managing data in Hadoop gets complex quickly – Loom is the data set management system for Hadoop that makes it easy. Loom provides tools to track the lineage and provenance of all registered HDFS data, and Activescan so that all of the critical information about data sets is collected dynamically.

Data scientists working with multiple data sets need tools for describing data, automatically tracking their activities, and making the hard work of creating finished products from raw materials easier. Loom has a fabulous UI for Hive and very good integration with the R programming language and R consoles.

When a good Hive UI and integration with R are coupled with Loom’s data set management capability the result is significant productivity increases for all Hadoop users, especially data scientists. We will provide a thorough demonstration Loom.

The team at Revelytix has delivered complex information management software for 14 years, over our past two companies to both commercial customers and the U.S. Department of Defense. This talk will show how to dramatically increase the productivity of Hadoop users.

Revelytix announces the Early Access availability of Loom.

This session is sponsored by Revelytix

Michael Lang Sr.


Michael Lang is CEO and founder of Revelytix. He has worked in various aspects of the enterprise information management space for 25 years, including roles at Reuters, Vitria, Metamatrix (founder and president, sold to Red Hat) and Revelytix. For the past 10 years he has worked closely with the U.S. Department of Defense innovating solutions to complex enterprise data management problems.


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