Big Data & Hadoop

Course Description

How do we tackle Big Data? Why are we interested in it? What is a Big Data platform?

  • Gain insights on how to run better businesses and provide better service to customers.
  • Get recommendations on how to process big data on platforms that can handle the variety, velocity, and volume of data by using a family of components that require integration and data governance.
  • Learn why Big Data is NoHadoop (“not only Hadoop”) as well as NoSQL (“not only SQL”)

Apache Hadoop, a free, open source, Java-based programming framework.

  • Learn about Hadoop’s architecture and core components, such as MapReduce and the Hadoop Distributed File System (HDFS).
  • Learn how to add and remove nodes from Hadoop clusters, how to check available disk space on each node, and how to modify configuration parameters.
  • Learn about other Apache projects that are part of the Hadoop ecosystem, including Pig, Hive, HBase, ZooKeeper, Oozie, Sqoop, Flume, among others.  Big Data University provides separate courses on these other projects, but we recommend you start here.

Course Details

  • Course duration: 10 weeks
  • Projects & Assignments: 40 Hours
  • Start date: Dec 10, 2016

Course Syllabus