Hadoop 101
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Learn the basics of Hadoop, the powerful open-source framework for storing and processing large datasets. Understand its architecture and core components.
At a Glance
This beginner Apache Hadoop course introduces you to Big Data concepts, and teaches you how to perform distributed processing of large data sets with Hadoop.
About This Course
Learn the basics of
- Learn about Hadoop’s architecture and core components, such as MapReduce and the Hadoop Distributed File System (HDFS).
- Learn how to add and remove nodes from Hadoop clusters, how to check available disk space on each node, and how to modify configuration parameters.
- Learn about other Apache projects that are part of the Hadoop ecosystem, including Pig, Hive, HBase, ZooKeeper, Oozie, Sqoop, Flume, among others. BDUprovides separate courses on these other projects, but we recommend you start here.
Course Syllabus
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Module 1 – Introduction to Hadoop
- Understand what Hadoop is
- Understand what Big Data is
- Learn about other open source software related to Hadoop
- Understand how Big Data solutions can work on the Cloud
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Module 2 – Hadoop Architecture
- Understand the main Hadoop components
- Learn how HDFS works
- List data access patterns for which HDFS is designed
- Describe how data is stored in an HDFS cluster
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Module 3 – Hadoop Administration
- Add and remove nodes from a cluster
- Verify the health of a clusterStart and stop a clusters components
- Modify Hadoop configuration parameters
- Setup a rack topology
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Module 4 – Hadoop Components
- Describe the MapReduce philosophy
- Explain how Pig and Hive can be used in a Hadoop environment
- Describe how Flume and Sqoop can be used to move data into Hadoop
- Describe how Oozie is used to schedule and control Hadoop job execution
General Information
- This course is self-paced.
- It can be taken at any time.
- It can be audited as many times as you wish.
Recommended skills prior to taking this course
- Knowledge about Big Data concepts
Requirements
- None
Course Staff
Warren Pettit Warren has been with IBM for over 30 years. For the last 16 years, he has worked in Information Management education where he has been both an instructor and a course developer in the Data Warehouse and Big Data curriculums. For the nine years prior to his joining IBM, he was an application programmer and was responsible for developing a training program for newly hired programmers.
Asma Desai
Daniel Tran
Leons Petrazickis
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