Hadoop Basics

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    Overview of Hadoop, the MapReduce programming model, and the applications that Hadoop makes possible.
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    Intro to MapReduce concepts.  Explores the flow of a MapReduce program.
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    This video explores how MapR fits into the overall Hadoop landscape.
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    Walk through the Java code for an example MapReduce program, and then run the Hadoop job on a MapR cluster.
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    This video digs deeper into MapReduce features to help developers get started.
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    An introduction to Hadoop and a discussion of the problems MapReduce solves, and what must be done to solve these problems well.
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    How to manage Hadoop cluster users and groups and more.
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    A description of how MapR allocates node resources for MapReduce.
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    Introduction to the concepts of Apache Hadoop Distribution.
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    An introduction to the concepts and components of MapReduce.

Cluster Management

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Hadoop Use Cases

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    Challenges and solutions of evolving Hadoop for the enterprise.
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    Meeting the challenges of making Hadoop truly performant at scale.
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    The architecture of MapR containers, and how they solve the hard problems.
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    A survey of methods and strategies for setting up NFS for MapReduce.

MapR offers Hadoop training materials for everyone interested in Hadoop.

 

If you are a  Hadoop Administrator, Developer, or Business User, The MapR Academy is your source for videos and documentation to help you get the most out of your Hadoop investment.

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Topics include: service layout, NFS strategy, High Availability, and sample
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An introduction to the MapR Lockless Storage Services layer.
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A demonstration of how to create, view, and use snapshots.
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Managing services and handling service failures in a Hadoop cluster.

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A quick introduction to Hive, Pig, and HBase.
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An introduction to the MapR Lockless Storage Services layer.
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JobTracker failures are a major issue for Hadoop administrators and developers.
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An introduction to the tools and architecture of the MapReduce framework.

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A discussion of positive indicators for Hadoop use.
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How to use Hadoop to catch small frauds (and prevent big ones) after card
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Managing Hadoop applications, including MapReduce and HBase,and data using.
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An introduction to Hadoop and a discussion of the problems MapReduce solves,