Cloudera’s Introduction to Hadoop combined with Cloudera Training for Apache HBase

Nov. 7, 10 & 11
9:00AM - 5:00PM

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Cloudera’s Introduction to Hadoop – November 7

This one-day course will give an overview of Apache Hadoop and related components, providing the prerequisite knowledge for the courses on Apache Hive and Pig, or Apache HBase.

You will learn:

The Motivation For Hadoop

  • Problems with traditional large-scale systems
  • Requirements for a new approach
  • How Hadoop meets those requirements

Basic Hadoop Concepts

  • Hadoop core components
  • How the Hadoop Distributed File System (HDFS) works
  • Hands-On Exercise: Accessing HDFS
  • How MapReduce works
  • Hands-On Exercise: Running a MapReduce job
  • The anatomy of a Hadoop cluster
  • Hadoop installation

The Hadoop Ecosystem

  • Hive and Pig
  • HBase
  • Flume
  • Sqoop
  • Oozie
  • Other Ecosystem projects

Integrating Hadoop Into The Workflow

  • Relational Database Management Systems
  • Storage Systems
  • Backup

Solving Problems With Hadoop

  • Common Hadoop-able Problems
  • Example use cases for Apache Hive and Apache Pig as higher-level languages on top of Hadoop’s MapReduce paradigm.

Cloudera Training for Apache HBase – November 10 & 11

Training for Apache HBase is designed for developers already familiar with Apache Hadoop. We will assume participants are familiar with Hadoop’s architecture, APIs and have written basic applications. Cloudera’s Hadoop Developer course provides all the necessary background required.

Please note, HBase is under active development, and as such, we may add or remove some content to provide the most relevant information at the time. We’ll alternate between instructional sessions and hands-on labs to ensure participants leave ready to write their own HBase application.

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