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Pluralsight

Streams, Collectors, and Optionals for Data Processing in Java 8

via Pluralsight

Overview

This course shows advanced patterns to process data in Java 8 using lambdas, streams, spliterators, optionals, and collectors. It shows how to build your own spliterators to connect streams to non-standard data sources, and to build your own collectors.

The Stream API and the Collectors are two new additions to the JDK in Java 8 that allow the efficient processing of data using the map / filter / reduce approach. It brings many new patterns on the table, and ways to extend them. We show how to connect streams to non-standard sources of data, how to build streams on other streams. The notion of Optional, introduced to handle the reduction of empty streams is also shown on advanced data processing patterns. And at last, collectors are shown, basic patterns first then advanced ones, where we build our own custom collector.

Syllabus

  • Connecting Streams to Custom Sources: The Spliterator Pattern 37mins
  • Advanced Java 8 Stream Patterns: FlatMap, Streams of Numbers 56mins
  • Parallel Data Processing Pipelines Using Java 8 Streams 44mins
  • Building Errorless Processing Pipelines with Optionals 41mins
  • Collecting Data in Complex Containers Using Collectors 45mins
  • Building Custom Collectors for Advanced Data Processing 44mins

Taught by

Jose Paumard

Reviews

4.7 rating at Pluralsight based on 193 ratings

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