Parallelism is an amazing feature brought by the Stream API in Java 8. In this course, you will learn how parallel streams are working under the hood, how to use them to improve the performances of your applications, and when to avoid them.
Along with the implementation of the map / filter reduce algorithm, the Stream API brings an amazing feature: the possibility to conduct the processing of your data in parallel. Going parallel is as simple as calling a parallel() method, something many developers are tempted to do. In this course, Leveraging Parallel Streams for Fast Data Processing in Java 8, you will learn what is happening under the hood, and how parallelism has been implemented in the Stream API.
First, you will see that going parallel may improve the performances of your computations greatly, but may also ruin your application. Next, you will discover how to understand when things are working, which will give you the keys you need to decide when to go parallel and when to stay away from it. Finally, you will analyze the situations where things are not behaving as expected.

https://videohive.net/item/animation-of-data-processing-in-blue-background/35623116

by Tomasz Lelek | Released January 2018 | ISBN: 9781787282032

296 pages | English | ISBN-10: 0748409327 | ISBN-13: 9780748409327

288 pages | English | ISBN-10: 0748409289 | ISBN-13: 9780748409280

344 pages | English | ISBN-10: 0415319722 | ISBN-13: 9780415319720

424 pages | English | ISBN-10: 0849385830 | ISBN-13: 978-0849385834

166 pages | English | ISBN-10: 0309104092 | ISBN-13: 9780309104098

Processing Data Sources in PHP

https://www.linkedin.com/learning/processing-data-sources-in-php