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Make Data Work
Oct 15–17, 2014 • New York, NY
Suresh Srinivas

Suresh Srinivas
Architect and Cofounder, Hortonworks


Suresh is an Apache Hadoop committer and member of Apache Hadoop Project Management Committee (PMC). He is a long term active contributor to the Apache Hadoop project and has designed and developed many significant features for Hadoop. Prior to co-founding Hortonworks, he served as a software architect at Yahoo! working on Apache Hadoop, where he developed features and supported some of the largest installations of Hadoop clusters. .


1:45pm–2:25pm Thursday, 10/16/2014
Location: 1 E05
Moderated by:
Alex Gorelik (Waterline Data)
Suresh Srinivas (Hortonworks), Mike Sutten (Kaiser Permanente), John Mount (Win-Vector LLC), Clark Farrey (Capital One), Sunil Soares (Information Asset)
Average rating: ***..
(3.33, 3 ratings)
Companies are deploying Hadoop “data lakes” to provide unprecedented access to data for data science and analytics. However, the advantages of frictionless ingest, flexible schema on read, and lack of data governance, turn into increasingly insurmountable challenges to enable true data self-service, and create a barrier to the enterprise adoption of Hadoop. Read more.
1:45pm–2:25pm Friday, 10/17/2014
Hadoop Platform
Location: Hall A 23/24
Chris Nauroth (Hortonworks), Suresh Srinivas (Hortonworks)
Average rating: ****.
(4.25, 4 ratings)
Are you taking advantage of all of Hadoop’s features to operate a stable and effective cluster? Inspired by real-world support cases, this talk discusses best practices and new features to help improve incident response and daily operations. Chances are that you’ll walk away from this talk with some new ideas to implement in your own clusters. Read more.