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Field Guide to Hadoop

Book Description

If your organization is about to enter the world of big data, you not only need to decide whether Apache Hadoop is the right platform to use, but also which of its many components are best suited to your task. This field guide makes the exercise manageable by breaking down the Hadoop ecosystem into short, digestible sections. You'll quickly understand how Hadoop's projects, subprojects, and related technologies work together.

Table of Contents

  1. Preface
    1. Conventions Used in This Book
    2. SafariĀ® Books Online
    3. How to Contact Us
    4. Acknowledgments
  2. 1. Core Technologies
    1. Hadoop Distributed File System (HDFS)
      1. Tutorial Links
      2. Example Code
    2. MapReduce
      1. Tutorial Links
      2. Example Code
    3. YARN
      1. Tutorial Links
      2. Example Code
    4. Spark
      1. Tutorial Links
      2. Example Code
  3. 2. Database and Data Management
    1. Cassandra
      1. Tutorial Links
      2. Example Code
    2. HBase
      1. Tutorial Links
      2. Example Code
    3. Accumulo
      1. Tutorial Links
      2. Example Code
    4. Memcached
      1. Tutorial Links
      2. Example Code
    5. Blur
      1. Tutorial Links
      2. Example Code
    6. Solr
      1. Tutorial Links
      2. Example Code
    7. MongoDB
      1. Tutorial Links
      2. Example Code
    8. Hive
      1. Tutorial Links
      2. Example Code
    9. Spark SQL (formerly Shark)
      1. Tutorial Links
      2. Example Code
    10. Giraph
      1. Tutorial Links
  4. 3. Serialization
    1. Avro
      1. Tutorial Links
      2. Example Code
    2. JSON
      1. Tutorial Links
      2. Example Code
    3. Protocol Buffers (protobuf)
      1. Tutorial Links
      2. Example Code
    4. Parquet
      1. Tutorial Links
      2. Example Code
  5. 4. Management and Monitoring
    1. Ambari
      1. Tutorial Links
      2. Example Code
    2. HCatalog
      1. Tutorial Links
      2. Example Code
    3. Nagios
      1. Tutorial Links
    4. Puppet
      1. Tutorial Links
      2. Example Code
    5. Chef
      1. Tutorial
      2. Example Code
    6. ZooKeeper
      1. Tutorial Links
      2. Example Code
    7. Oozie
      1. Tutorial Links
      2. Example Code
    8. Ganglia
      1. Tutorial Links
      2. Example Code
  6. 5. Analytic Helpers
    1. MapReduce Interfaces
    2. Analytic Libraries
    3. Pig
      1. Tutorial Links
      2. Example Code
    4. Hadoop Streaming
      1. Tutorial Links
      2. Example Code
    5. Mahout
      1. Tutorial Links
      2. Example Code
    6. MLLib
      1. Tutorial Links
      2. Example Code
    7. Hadoop Image Processing Interface (HIPI)
      1. Tutorial Links
      2. Example Code
    8. SpatialHadoop
      1. Tutorial Links
  7. 6. Data Transfer
    1. Sqoop
      1. Tutorial Links
      2. Example Code
    2. Flume
      1. Tutorial Links
      2. Example Code
    3. DistCp
      1. Tutorial Links
      2. Example Code
    4. Storm
      1. Tutorial Links
      2. Example Code
  8. 7. Security, Access Control, <span xmlns="http://www.w3.org/1999/xhtml" xmlns:epub="http://www.idpf.org/2007/ops" class="keep-together">and Auditing</span>
    1. Sentry
      1. Tutorial Links
      2. Example Code
    2. Kerberos
      1. Tutorial Links
      2. Example Code
    3. Knox
      1. Tutorial Links
      2. Example Code
  9. 8. Cloud Computing and Virtualization
    1. Serengeti
      1. Tutorial Links
    2. Docker
      1. Tutorial Links
      2. Example Code
    3. Whirr
      1. Tutorial Links
      2. Example Code