Self-Service Data Exploration and Nested Data Analytics on Hadoop

For our first meetup, we'll welcome Ted Dunning, Chief Application Architect at MapR. We'll start with 30 minutes of networking at 6:30, at Ted will be on at 7.

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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.

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Ted is Chief Application Architect at MapR and has held Chief Scientist positions at Veoh Networks, ID Analytics and at MusicMatch, (now Yahoo Music). Ted is responsible for building the world's most advanced identity theft detection system, as well as one of the largest peer-assisted video distribution systems and ground-breaking music and video recommendations systems. Ted has 24 issued and numerous pending patents and contributes to Apache Mahout, Zookeeper and Drill™. He is also a mentor for Apache Spark, Storm, DataFu and Stratosphere. Ted has spoken at numerous conferences throughout the world.