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Introduction to Hadoop Administration (TTDS6503)

Apache Hadoop is an open source framework for creating reliable and distributable compute clusters. Credited with the IBM Watson Jeopardy win in 2011, Hadoop can be used (with other related frameworks) to process large unstructured or semi-structured data sets from multiple sources to dissect, classify, learn from, and make suggestions for business analytics, decision support, and other advanced forms of machine intelligence.

This introductory-level, hands-on lab-intensive course is geared for the administrator who is new to Hadoop and responsible for maintaining a Hadoop cluster and its related components. Hadoop is a system designed for massive scalability; its extremely fault-tolerant compared to other cluster architectures. As administrators, you will need to install, configure, and maintain Hadoop on Linux in various compute environments.

This course agenda may be easily customized for addressing areas of specific interest to your team. There are lab variations that support Cloudera and Hortonworks distributions as well.

  • Install, configure, and maintain the Apache Hadoop framework
  • Explore MapReduce, YARN, Spark
  • Explore Mahout, MLib, and other frameworks
  • Hadoop architecture
  • Install Hadoop
  • Test Hadoop programs
  • Optimize and tune Hadoops performance
  • Install Hadoop for the cloud and HBase