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[su_tab title = “Description”]

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.

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[su_tab title = “Program Structure”]

• 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

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[su_tab title = “Eligibility”]

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

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[su_tab title =”Tools”]

• Hadoop
• Hive
• SQL

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[su_tab title = “Faculty”]

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

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[su_tab title = “Contact”]

Name :
Email :
Contact Number :
Message :
Code :

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