Big Data TechCon 2015
Chicago, IL
Wednesday, November 4, 2015
Big Data TechCon features practical, how-to classes and tutorials for IT and Big Data professionals, including data and business analysts, developers, software architects, data scientists, and project managers.


Rethinking SQL and Database Design with Apache Drill

Jim Scott View Bio


This session will provide in-depth walk through of the powerful SQL query capabilities in Drill by reviewing publicly available data sets including Yelp, the U.S. Department of Agriculture (USDA) and the City of Chicago.

This session will cover how Apache Drill, the most flexible SQL-on-Hadoop technology, can achieve lightning fast performance and provide ground breaking flexibility and ease of use to enable self-service data-exploration for users of Hadoop and NoSQL data. Drill delivers standard ANSI:SQL 2003 capabilities to your desktop and your big data clusters. Drill works with structured and semi-structured data formats and is able to incorporate data from fast changing data models without the need to first perform data transformations. Drill also supports querying databases like HBase, Cassandra and MongoDB.


Jim Scott

Jim drives enterprise architecture and strategy at MapR. Jim Scott is the cofounder of the Chicago Hadoop Users Group. As cofounder, Jim helped build the Hadoop community in Chicago for the past four years. He has implemented Hadoop at three different companies, supporting a variety of enterprise use cases from managing Points of Interest for mapping applications, to Online Transactional Processing in advertising, as well as full data center monitoring and general data processing. Prior to MapR, Jim was SVP of Information Technology and Operations at SPINS, the leading provider of retail consumer insights, analytics reporting and consulting services for the Natural, Organic and Specialty Products industry. Additionally, he served as Lead Engineer/Architect for dotomi, one of the world’s largest and most diversified digital marketing companies. Prior to dotomi, Jim held several architect positions with companies such as aircell, NAVTEQ, Classified Ventures, Innobean, Imagitek, and Dow Chemical, where his work with high-throughput computing was a precursor to more standardized big data concepts like Hadoop.