Improving Hive; MapR Hbase M7

MapR Hbase M7

Jim Fiori, MapR

Large scale NoSQL databases are now a critical part of many technology stacks. Apache HBase offers a much needed scalable, columnar data store in the Hadoop environment. This presentation will cover a brief explanation of the architecture of Apache HBase and the solutions it addresses. The presentation then provides technical information about how MapR's M7 distribution of Hadoop implements innovative features for HBase users while maintaining API compatibility. These include an unlimited number of tables, fast recovery from node crashes, full snapshots, no long compaction delays, and disaster recovery.

Jim Fiori is a Senior Solutions Architect with MapR Technologies, a leading provider of enterprise-grade Hadoop solutions. Jim has a long history in IT, involving roles in software development, performance engineering, and pre-sales engineering in both the commercial and government spaces, including the Intelligence Community. Jim has deep systems knowledge including servers, networks, storage, operating systems, and high-availability. Before joining MapR, he was at Sun Microsystems and Oracle solving complex customer problems. Jim's interests are in Big Data architectures, enterprise software, performance analysis and tuning, and distributed systems.

Improving Hive

Terry Padgett, Hortonworks

Hortonworks recently announced several initiatives around improving the speed of Hive and supporting interactive user queries over large datasets. In this talk we will discuss Stinger and Tez and how this projects will allow Hive to be 100x faster than it is today. We will also discuss a new Apache Incubator project, Knox. A security gateway for Hadoop.

Terry Padgett is a Solution Engineer with Hortonworks working in the Federal and Commercial sectors. He has an extensive background in software engineering and has been working in the Hadoop ecosystem for several years.

Schedule

6:00-7:00 - Snacks and Networking

7:00-7:15 - Announcements

7:15-7:45 - First Speaker

7:45-7:50 - Break

7:50-8:20 - Second Speaker