[MapR Talk] Putting Apache Drill into Production

Document created by aalvarez on Jul 28, 2016
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Apache Drill is the industry's first schema-free SQL query engine for big data. With its flexibility to explore both structured and complex datasets on the fly from a variety of data sources combined with its distributed query processing capabilities that provide low latency performance at petabyte scale, Drill is getting rapidly adopted by organizations to open up their Hadoop deployments to wide variety of users in a self service fashion.


This session provides deep dive into the use cases of Apache Drill and best practices for deploying it in production using real customer examples. We will start with an introduction to Apache Drill , how it fits into the Hadoop eco system and quickly delve into the topics that matter for production rollout such as the  data ingestion methodologies , data model trade offs, storage format selection, picking the data layout for optimal performance, query design tips & tricks and finally wrap up a preview of the road ahead for the project in 2016.



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North America, Europe and Asia. Please refer to the MapR Talks Directory  for specific countries.

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