Through lecture and interactive, hands-on exercises, attendees will navigate the Hadoop ecosystem, learning topics such as:

• MapReduce and the Hadoop Distributed File System (HDFS) and how to write MapReduce code
• Best practices and considerations for Hadoop development, debugging techniques and implementation of workflows and common algorithms
• How to leverage Hive, Pig, Sqoop, Flume, Oozie and other projects from the Apache Hadoop ecosystem
• Optimal hardware configurations and network considerations for building out, maintaining and monitoring your Hadoop cluster
• Advanced Hadoop API topics required for real-world data analysis