Save 40% on Coursera Plus Annual

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Pluralsight

Using Java 8 Streams to Process and Analyze Data in Memory

via Pluralsight

Write review
Coursera Ad

All Coursera Certificates 40% Off

Learn More → Ad

Free courses from frontend to fullstack and AI

Learn More →

Overview

Coursera Spring Sale
40% Off Coursera Plus Annual!
Grab it


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.

Syllabus

  • 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

Taught by

Jose Paumard

Reviews

5 rating at Pluralsight based on 202 ratings

Start your review of Using Java 8 Streams to Process and Analyze Data in Memory

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.