Adam Shook

Adam Shook

Adam Shook

Technical Architect at Pivotal


Adam Shook is a Technical Architect at Pivotal, working to help customers across many industries solve their big data problems using a number of Pivotal and Hadoop-related technologies. In the past, Shook has engineered several mission-critical Hadoop applications in the U.S. Intelligence Community. He has developed and taught training courses for students new to Hadoop and Pig. Shook is also an author of O'Reilly Media's "MapReduce Design Patterns", a book to help beginners and experts alike solve complex problems using MapReduce. He graduated from the University of Maryland Baltimore County in 2009 with a B.S. in Computer Science, and once again in 2013 with a Master's degree in CS focusing on in-memory distributed systems.




Presentations

Hadoop - Just the Basics for Big Data Rookies

This session assumes absolutely no knowledge of Apache Hadoop and will provide a complete introduction to all the major aspects of the Hadoop ecosystem of projects and tools. If you are looking to get up to speed on Hadoop, trying to work out what all the Big Data fuss is about, or just interested in brushing up your understanding of MapReduce, then this is the session for you. We will cover all the basics with detailed discussion about HDFS, MapReduce, YARN (MRv2), and a broad overview of the Hadoop ecosystem including Hive, Pig, HBase, ZooKeeper and more.

General Overview

Hadoop Core, HDFS and MapReduce

Next Gen Hadoop, HDFS 2.0 and YARN (MRv2)

MapReduce Components and Code Examples

Hadoop Ecosystem Overview







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