Expect More From Hadoop

Sponsored Sessions Ballroom H
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As many enterprises deploy Hadoop into production, they are finding that it is not the volume or velocity of their data that is problematic right away, but rather the variety of the types and formats of their critical data.

There are too many data sources for this critical data and not enough integration. This leads to increasing infrastructure costs as companies need to run separate Hadoop, NoSQL and enterprise environments as well as increased engineering deployments to coordinate the moving parts. Enterprises are spending more on system upkeep and not keeping up with their business analysis.

This presentation will provide an overview on how leading companies have integrated Hadoop, NoSQL (HBase) and enterprise sources on one platform. Data is combined and processed in one simplified architecture freeing up resources to get more out of Hadoop. Case studies and reference architectures will be reviewed to demonstrate how companies have succeeded in generating Big Data insights with less infrastructure costs.

This session is sponsored by MapR

Photo of Ted Dunning

Ted Dunning

MapR

Ted Dunning is chief application architect at MapR. He’s also a board member for the Apache Software Foundation, a PMC member and committer of the Apache Mahout, Apache Zookeeper, and Apache Drill projects, and a mentor for various incubator projects. Ted has years of experience with machine learning and other big data solutions across a range of sectors. He has contributed to clustering, classification, and matrix decomposition algorithms in Mahout and to the new Mahout Math library and designed the t-digest algorithm used in several open source projects and by a variety of companies. Previously, Ted was chief architect behind the MusicMatch (now Yahoo Music) and Veoh recommendation systems and built fraud-detection systems for ID Analytics (LifeLock). Ted has coauthored a number of books on big data topics, including several published by O’Reilly related to machine learning, and has 24 issued patents to date plus a dozen pending. He holds a PhD in computing science from the University of Sheffield. When he’s not doing data science, he plays guitar and mandolin. He also bought the beer at the first Hadoop user group meeting.

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