Beyond Hadoop: Fast Ad-Hoc Queries on Big Data

Hadoop & Beyond, Grand West (NY Hilton)
Average rating: ****.
(4.00, 9 ratings)

This session will start with a high-level overview of the Metamarkets solution relative to other technologies (e.g., Hadoop, transactional systems, etc.). We will describe our technical requirements as well as our experience with numerous commercial and open source technologies along the way (e.g., Greenplum, InfoBright, MySQL, HBase, etc.). We will then discuss why we decided to build Druid, our own distributed, in-memory OLAP data store and lessons learned through trial and error. Finally, we will conclude with performance benchmarks we have achieved with Druid before Q&A.

Photo of Mike Driscoll

Mike Driscoll


Michael is a serial entrepreneur who has built data platforms in life sciences, online retail, and digital media over the past decade. Michael began his career as a software engineer for Human Genome Project, and later founded, an early pioneer in customized apparel. More recently, Michael conceived and led Dataspora, where he remains Chairman, helping deliver data science to telcos, insurance firms, and retail banks. Michael holds an A.B. from Harvard College and a Ph.D. in Bioinformatics from Boston University. He enjoys speaking and writing about big data and analytics.

Photo of Eric Tschetter

Eric Tschetter


Eric Tschetter is the lead architect of Druid, Metamarkets’ distributed, in-memory database. He held senior engineering positions at Ning and LinkedIn before joining Metamarkets. At LinkedIn, Eric productized LinkedIn’s PYMK with Hadoop. He holds bachelors degrees in Computer Science and Japanese from the University of Texas at Austin, and a M.S. from the University of Tokyo in Computer Science.


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