Using Java 8 Streams to Process and Analyze Data in Memory

The Stream API is an in-memory implementation of the map/filter/reduce pattern, introduced in Java 8. In this course, you will learn the basics of this API, how you can use it to improve your code, and how this implementation works internally.

The Stream API is now one of the two main API used to processed data in Java. It implements a very popular pattern: map/filter/reduce. In this course, Using Java Streams, you will learn three things. First, you will see how this map/filter/reduce pattern works and how you can recognize its use in existing code. Then, you will explore how it has been implemented by the Stream API, and what the details are of this implementation to fully understand how you can leverage this API to write clean and efficient code. Finally, you will discover how to implement common use cases that will help you use this API very quickly in your applications. By the end of this course, you will have explored the theory to fully understand both the algorithm and the implementation.

• Course Overview 1min
• Processing Data Using the Map Filter Reduce Algorithm 24mins
• Using the Stream API to Map, Filter, and Reduce Data 19mins
• Building a Stream from Data in Memory 22mins
• Converting a For Loop to a Stream 20mins
• Reducing Data to Compute Statistics 31mins
• Collecting Data from Streams to Create Lists and Sets 12mins
• Creating and Analyzing Histograms from Streams 22mins