DescriptionProgram StructureEligibilityToolsFacultyContact

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
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