Learn the Fundamentals of Apache Hadoop

Introduction to Apache Hadoop:

This introductory class describes the students to learn the basics of Apache Hadoop. This course is a short and sweet preface to the point of Hadoop Distributed File System and MapReduce. The lessons roofs with numerous open source ecosystem tools such as Apache Spark, Apache Drill, and Apache Flume. Certainly, these tools are applied to real-world use cases.

Who can take up this course?

Anyone who is interested in learning the essential development from traditional data to big data models. This course fits for business managers, students new to big data Hadoop, developers, administrators, and data analysts.

What should you learn next?

It will be useful to expert your skills and knowledge if you learn MapR Converged Data Platform Basics

Topic: Introduction to Apache Hadoop

The classes are continuing from the Big Data basic sessions

Class 3: Lessons on Apache Hadoop Foundation

• Compare and contrast local and distributed file systems
• Explain data management in the Hadoop file system
• Summarize the MapReduce algorithm

Class 4: Lessons on The Apache Hadoop Ecosystem

Explanation to the specified ecosystem components

• Administration: ZooKeeper, YARN
• Ingestion: Flume, Oozie, Sqoop
• Processing: Spark, HBase, Pig
• Analysis: Hive, Drill, Mahout

Class 5: Lessons on Unfolding Big Data Troubles with Apache Hadoop

Run through the following use cases

• Data Warehouse Optimization
• Recommendation Engine
• Large-Scale Log Analysis