Information Technology
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Leveraging Parallel Streams for Fast Data Processing in Java

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Course Features

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Duration

132 minutes

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Delivery Method

Online

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Available on

Downloadable Courses

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Accessibility

Mobile, Desktop, Laptop

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Language

English

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Subtitles

English

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Level

Intermediate

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Teaching Type

Self Paced

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Video Content

132 minutes

Course Description

The Stream API offers a unique feature, allowing you to process your data simultaneously. Parallelism is as easy as calling the parallel() method. This is something that many developers find tempting. This course, Leveraging Parallel Streams to Fast Data Processing in Java, will explain what's happening underneath the hood and how parallelism is implemented in the Stream API. You will first see how parallelism can improve the performance of your computations, but it could also cause problems in your application. You will then learn how to recognize when things are working and the key to deciding when you should go parallel or when you should stay away. You will also learn how to analyze situations that aren't going as planned. You will be able to understand parallelism in its entirety by the end of this course. It is a complicated topic that can be mastered with simple ideas so that you can immediately apply what you have learned.

Course Overview

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International Faculty

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Case Based Learning

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Post Course Interactions

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Case Studies,Instructor-Moderated Discussions

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Case Studies, Captstone Projects

Skills You Will Gain

Course Instructors

Jose Paumard

Instructor

Passionate about programming computers for over 20 years, Jose made his debut in assembler and C, C for SIMD parallel machines before adopting Java as an object-oriented language, indispensable to mo...
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