Seattle Data Science Meetup - Apr 21, 2016

Document created by aalvarez on Apr 13, 2016Last modified by maprcommunity on Apr 14, 2016
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SUMMARY

Date:April 21, 2016
Location:

Galvanize

111 S. Jackson St., Seattle, WA

Time:18:30
Registration Link:

http://www.eventbrite.com/e/seattle-data-science-putting-apache-drill-to-use-tickets-21126416681?aff=seaDS

                        

AGENDA HIGHLIGHTS

  • Putting Apache Drill to Use: Best Practices for Production Deployments -Vadim Brodsky -  Senior Solutions Architect

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 ofApache 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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MATERIALS

 

Free Training:

DA 410 - Apache Drill Essentials

Join Data Analyst Course Discussions

DA 415 - Apache Drill Architecture

Get started with Drill :

Drill in 10 Minutes

MapR Sandbox with Apache Drill

Explore Drill tutorials

Find Content tagged drill  drill best practice

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