Published 6/2023
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.21 GB | Duration: 3h 7m
Comprehensive Hands-On Course for Java Developers to Master Stream Processing in Java 8
What you’ll learn
Introduction to Java 8 Streams: Understand the concept of streams, their benefits, and how they differ from traditional collections.
Stream Operations: Explore various stream operations such as filtering, mapping, sorting, and reducing to perform complex data transformations.
Intermediate and Terminal Operations: Learn about intermediate operations and terminal operations, and how they work together in a stream pipeline.
Stream Parallelization: Explore parallel stream processing and how to leverage multi-core processors for improved performance.
Requirements
Basic Java Knowledge: Learners should have a basic understanding of core Java.
Description
The Stream API in Java 8: Comprehensive Guide is a comprehensive course that provides a deep understanding of the Stream API in Java 8. Streams offer powerful capabilities for efficient and functional data processing, and this course aims to equip you with the knowledge and practical skills to leverage this feature effectively.The course begins with an introduction to streams, exploring how they work and comparing them to traditional collections. You will learn how to create stream instances and understand the concepts of intermediate, terminal, and short-circuit operations.The course then delves into various stream operations, guiding you through hands-on labs to solidify your understanding. You will explore operations such as forEach(), collect(), toArray(), map(), flatMap(), distinct(), count(), sorted(), filtering, reducing, and more. Additionally, you will learn how to customize sorting using a Comparator and work with limiting, skipping, peeking, and matching operations.Numeric streams, a specialized form of streams for numeric data, are covered in a dedicated section. You will discover how to work with range operations, perform calculations on numeric streams, and handle boxing and unboxing of values.The course also covers terminal operations, which are used to produce a final result from a stream. You will learn about joining, counting, mapping, minBy(), maxBy(), sum(), avg(), groupingBy(), partitioningBy(), and other essential terminal operations.In addition to the core concepts and operations, the course includes a section on important logical programs frequently encountered in interviews. You will have the opportunity to practice solving these programs using the Stream API.Parallel stream processing is another key topic covered in the course. You will understand the concepts behind parallel streams, learn how they work, build parallel stream pipelines, and compare the performance of sequential versus parallel streams. Furthermore, you will gain insights into scenarios where using parallel streams may not be beneficial.By the end of this comprehensive guide, you will have a strong grasp of the Stream API in Java 8 and be capable of effectively utilizing streams for data processing tasks. Join now and enhance your Java skills with the power of stream processing!Note: The course content mentioned above provides a brief overview of the topics covered. The actual course may include additional subtopics and exercises to enhance the learning experience.
Overview
Section 1: Stream API Introduction
Lecture 1 Introduction to stream
Lecture 2 How Stream API works ?
Lecture 3 Features of Stream
Lecture 4 Create Stream Instance
Lecture 5 Comparing Streams vs Collections
Section 2: Stream API : Stream Operations
Lecture 6 Lab : Stream Operation – forEach()
Lecture 7 Lab : Stream Operation – collect()
Lecture 8 Lab : Stream Operation – toArray()
Lecture 9 Lab : Stream Operation – map()
Lecture 10 Lab : Stream Operation – flatMap()
Lecture 11 Lab : Stream Operation – flatMap() with Custom Object
Lecture 12 Lab : Stream Operation – distinct() , count(), sorted()
Lecture 13 Lab : Stream Operation – filter()
Lecture 14 Lab : Stream Operation – reduce()
Lecture 15 Lab : Stream Operation allMatch(), anyMatch() and noneMatch()
Lecture 16 Lab : Stream Operation – findAny() and findFirst()
Section 3: Stream API : Terminal Operations
Lecture 17 Lab : sum() , avg() using collect()
Lecture 18 Lab : joining()
Lecture 19 Lab : counting()
Lecture 20 Lab : minBy() , maxBy() using collect()
Lecture 21 Lab : groupingBy() – Type 1
Lecture 22 Lab : groupingBy() – Type 2
Lecture 23 Lab : groupingBy() – Type 3
Lecture 24 Lab : partitioningBy() – Type 1
Lecture 25 Lab : partitioningBy() – Type 2
Section 4: Stream API : Numeric Streams
Lecture 26 Introduction to Numeric Stream
Lecture 27 Lab : NumericStream – range() , rangeClosed(), count(), foreach()
Lecture 28 Lab : NumericStream – sum() , max(), min(), average()
Lecture 29 Lab : NumericStream – Boxing ,Unboxing, mapToInt()
Lecture 30 Lab : NumericStream – mapToObj(), mapToDouble(), maptoLong()
Section 5: Stream API : Parallel Processing
Lecture 31 Introductionto Prallel Streams
Lecture 32 How Parallel Stream works ?
Lecture 33 Create Parallel Stream
Lecture 34 Lab : Build a Parallel Stream Pipeline
Lecture 35 Lab : Comparing Performance of Sequential vs Parallel Streams
Lecture 36 Lab : When not to use Parallel Stream
Section 6: Important Logical Programs for Interview using Stream
Lecture 37 Find Sum of all the elements
Lecture 38 Random Number Generator
Lecture 39 Find Duplicates from a list/array of numbers
Lecture 40 Find Duplicate from list/array in a Custom Object
Lecture 41 Remove Duplicates from a list/array of numbers
Lecture 42 Find Second Largest Element
Java Developers: This course is ideal for Java developers who want to upgrade their skills and learn about the powerful Stream API introduced in Java 8. It is suitable for both beginner and intermediate-level Java developers.,Java Developers Interviews: During Java developer interviews, you may encounter questions or scenarios related to stream processing, functional programming.,Java Software Architects: Java software architects who are responsible for designing large-scale applications can benefit from this course. Understanding stream processing and its integration with Java architecture will enable architects to make informed decisions when designing efficient and scalable systems.,Java Certification Aspirants: If you are preparing for a Java certification exam that covers Java 8 features, this course can be a valuable resource. It focuses specifically on stream processing, which is an important topic in Java 8, and helps you strengthen your understanding of this area.,Self-Learners and Java Enthusiasts: If you have a passion for learning Java and enjoy exploring its new features, this course can be an enriching experience.
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