This course has been developed in support of the Hadoop Developer Day event. It includes presentation materials and lab instructions to use at the event.

• Introduction to Hadoop
• Hadoop Architecture and HDFS
• Using Hive for Data Warehousing
• Using Big SQL

Learning Objectives

• Understand Hadoop and the Big Data Problems It Can Solve
• Know the key open source components related to Hadoop
• Understand how Big Data solutions can work in the Cloud
• Understand the components of Hadoop and how to leverage HDFS
• Know the essential steps involved with implementing a MapReduce program that runs in Hadoop
• Use Hive to implement data warehousing solutions in a Hadoop environment (using HiveQL)
• Understand the BigSQL approach to managing structured data in Hadoop
• Use BigSQL to store and query large data sets in Hadoop

Fees: – Free

Time to complete:

8 hours

Part Time/Full Time:

Part Time

• Basic knowledge of Linux
• Taking Hadoop-related courses in Big Data University is beneficial but not mandatory

• Hadoop
• Hive
• SQL

• Aaron Ritchie
• Warren Pettit
• Nicolas Morales
• Cindy Saracco
• Rafael Coss