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Big Data Training Overview
In this course, participants will learn how to use the tools that are part of the Hadoop Ecosystem.
Big Data Training Learning Objectives
After the completion of this course, you should be able to:
- Understand how to extract or upload data into HDFS using Hive and Pig.
- Develop workflows using Oozie to implement a multi-step Hadoop program.
- Configure and deploy a multi-node Hadoop cluster to develop a full cycle solution.
- Understand coordination and master/slave selection features provided by Zookeeper to keep the Hadoop cluster healthy.
Big Data Training Audience
- This course is best suited to engineers and administrators who have awareness of distributed systems.
- Developers, Administrators and Project Managers responsible for Hadoop implementation.
Big Data Training Pre-requisites
- Participants should have attended the Hadoop Basics course or should already be aware of Hadoop concepts.
- Knowledge of Java concepts from an administration perspective is strongly recommended and is required to complete many hands-on exercises.
- However, people with non-java background will be provided adequate assistance / guidance / instructions as well.
- Prior knowledge of Apache Hadoop is not required.
- Basic UNIX or Linux command-line navigation and administration skills
- Fundamental data related concepts
- Awareness of the need for BigData solutions
Big Data Training Course duration
3 days
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