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

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

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We are pleased to announce that Neeraja Rentachintala will be presenting this month on Self-Service Data Exploration and Nested Data Analytics on Hadoop - Introduction to Apache Drill. 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. 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. Come out and learn how you can leverage Drill to exploit data for your organization!

Agenda:

• 6:00 – 6:30 - Socialize over food and drink

• 6:30 – 6:45 - Announcements, Upcoming Events

• 6:45 – 8:30 - Self-Service Data Exploration and Nested Data Analytics on Hadoop - Introduction to Apache Drill - Neeraja Rentachintala

• 8:30 – ??? - Continued socializing

About The Presentation:

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.

About The Speakers:

Neeraja Rentachintala - Director of Product Management, MapR

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.

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