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Data Engineering Foundations Online Course & PDF Guides
 
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Table of contents
 
Introduction
Data Engineering Foundations : Using Spark, Hive, and Hadoop Scalable Tools: Introduction
Lesson 1: Background Concepts
Learning objectives
1.1 Understand big data and data analytics concepts
1.2 Understand Hadoop as a big data platform
1.3 Understand Hadoop MapReduce basics
1.4 Understand Spark language basics
Lesson 2: Working with Scalable Systems
Learning objectives
2.1 Understand scalable concepts
2.2 Emulate scalable systems
2.3 Use Linux command line analytics tools
2.4 Use the Zeppelin web notebook
Lesson 3: Using the Hadoop HDFS File System
Learning objectives
3.1 Understand HDFS basics
3.2 Use HDFS command line tools
3.3 Use the HDFS web interface
Lesson 4: Using Hadoop MapReduce
Learning objectives
4.1 Understand the MapReduce paradigm and platform
4.2 Understand parallel MapReduce
4.3 Run MapReduce examples
4.4 Use the Streaming interface
4.5 Use the MapReduce (YARN) web interface
Lesson 5: Using the Hive Scalable Database
Learning objectives
Lesson 6: Using Apache PySpark
Learning objectives
Summary
Data Engineering Foundations : Using Spark, Hive, and Hadoop Scalable Tools: Summary