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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”]
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