Apache Drill: Building Highly Flexible, High Performance Query Engines

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Apache Drill: Building Highly Flexible, High Performance Query Engines
SQL is one of the most widely used languages to access, analyze, and manipulate structured data. As Hadoop gains traction within enterprise data architectures across industries, the need for SQL for both structured and loosely-structured data on Hadoop is growing rapidly Apache Drill started off with the audacious goal of delivering consistent, millisecond ANSI SQL query capability across wide range of data formats. At a high level, this translates to two key requirements – Schema Flexibility and Performance. This session will delve into the architectural details in delivering these two requirements and will share with the audience the nuances and pitfalls we ran into while developing Apache Drill.
MapR.com is providing the speaker for this meeting. Bio and agenda will be added ASAP. It's possible the speaker may present for more than an hour, so it might not be our standard agenda.
The speaker MapR.com is flying into Omaha for this meetup is:
Neeraja Rentachintala is Director of Product Management for MapR, where she is responsible for the product strategy, roadmap and requirements of all MapR SQL initiatives. Prior to MapR, Neeraja held numerous product management and engineering roles at Informatica, Microsoft, Oracle and Expedia, and was most recently the principal product manager for Informatica Data Services/Data Virtualization. Neeraja received a BS in Electronics and Communications from the National Institute of Technology in India, and a certification in software product management from the University of Washington.

Apache Drill: Building Highly Flexible, High Performance Query Engines