Data Engineering with Hadoop
Apache Hadoop is one of the most in-demand technologies for analyzing big data. This introductory Hadoop course by IBM will give you an overview of what Hadoop is and its components, such as MapReduce and Hadoop Distributed File System (HDFS). Additionally, this course will teach you to explore with large...
Deviare
OSL
3758
Apache Hadoop is one of the most in-demand technologies for analyzing big data. This introductory Hadoop course by IBM will give you an overview of what Hadoop is and its components, such as MapReduce and Hadoop Distributed File System (HDFS). Additionally, this course will teach you to explore with large data sets and use Hadoop’s method of distributed processing.
Key Learning Objectives
- Understand Hadoop’s architecture and primary components (MapReduce and (HDFS)
- Add and remove nodes from Hadoop clusters
- Check the available disk Space on each node
- Modify configuration parameters
- Learn about Apache projects that are part of the Hadoop ecosystem (Pig, Hive, HBase, ZooKeeper, Oozie, Sqoop, and Flume)
Course curriculum
- Lesson 1 - Introduction to Hadoop
- Lesson 2 -Hadoop Architecture
- Lesson 3 -Hadoop Administration
- Lesson 4 -Hadoop Components
