Interactive SQL-on-Hadoop: from Impala to Hive/Tez to spark SQL to JethroData

Abstract
Since the launch of Cloudera's Impala 2 years ago, multiple tools have emerged in the quest to improve interactive query performance on Hadoop. JethroData, an Israeli startup, recently joined to field, announcing beta release of an index-based engine to fast sql-on-hadoop .

In this session we'll examine in detail Brute-Force vs Index Access architecture approaches, and which use-cases are suitable for each. We will explain how JethroData is designed and present performance benchmarks of some of the tools. The session will also include a demo and open Q&A.

About the presenter
Ofir Manor is a blogger and expert in the area of BigData. Ofir holds more than 15 years of experience developing and supporting databases. Worked for Oracle, GreenPlum and was an independent consultant for BigData. Lately joined JethroData as their Product Manager. http://www.linkedin.com/in/ofirmanor