Boulder/Denver BigData Meetup August 2015 - Apache Drill
Boulder, CO
Wednesday, August 19, 2015
The Boulder/Denver Big Data Meetup is a group that aime to educate the community about emerging Big Data Technologies.

Talks

Self-Service Data Exploration and Nested Data Analytics - Introduction to Drill

Neeraja Rentachintala View Bio

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. Apache Drill provides the users the ability to interact with big data on Hadoop much faster and far more easily using the familiar SQL language. Users are no longer dependent on central IT teams and DBAs to produce schemas and then maintain them when the structure changes for a few records. Drill alleviates the pain associated with structuring unstructured data before one gains any insights by providing a simple mechanism to query any dataset on Hadoop - be it flat files, parquet or JSON files or tables within an HBase table. This session will give you an overview of several different use cases that enterprises are testing Drill for as well as the latest news on Apache Drill 1.0 release on May 2015.

Speakers

Neeraja Rentachintala

As Director of Product Management, Neeraja is responsible for the product strategy, roadmap and requirements of MapR's SQL initiatives. Prior to MapR, Neeraja held numerous product management and engineering roles at Informatica, Microsoft SQL Server, Oracle and Expedia.com, most recently as the principal product manager for Informatica Data Services/Data Virtualization.