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Modern development with Java

Java 8 was the largest update to Java in it's history. This isn't your parents' Java anymore. Now, with Modern Java, some of the best ideas from functional programming are migrating their way into this release. This means easier to read, more flexible code that scales to multicore. A related and exciting trend that we're also teaching and seeing more and more with Java 9 and beyond is Reactive and Asynchronous programming. Join us to learn about Modern Java on this hands on 3 day course.

At the end of this course, you will be ready to use the newest tips and tools for Java on your day job and be familiar with the cutting edge programming approaches which allow you to write more flexible and concise code.

About the Authors

Richard Warburton

Richard Warburton

Richard Warburton is an empirical technologist and solver of deep-dive technical problems. Recently he has written a book on Java 8 Lambdas for O’Reilly. He’s worked as a developer in quite varied areas including Statistical Analytics, Static Analysis, Compilers and Networking.

Raoul-Gabriel Urma

Raoul-Gabriel Urma

Raoul-Gabriel Urma is a PhD student in Computer Science at the University of Cambridge. His research centers on programming languages and software engineering. He is an author of the upcoming book Java 8 in Action: Lambdas, Streams, and functional-style programming published by Manning.


If you are a Java developer with some professional programming experience, this course is for you. If you have object oriented experience but haven’t yet explored the functional realm that Java 8 provides, then this course is also for you!

The course is also ideal for developers who have written Java before but are returning to it as a language now after a few years in ruby/python and want to get up to speed with modern Java.


Learning Objectives

Learn how to:

  • Get up to date with the language changes introduced by lambda expressions in Java 8
  • Think in terms of functional programming and understand where this is an appropriate approach and where its not
  • Introduce changes to the collections library such as Streams and the higher order functions such as map and filter
  • Understand how to use them in order to solve simple data processing problems



To get the most from this course, delegates should have programming experience with Java 5 features.

Bring your own hardware

You are required to bring your own laptop for this course, so you learn how to develop within your own environment. A full installation guide for the course software will be provided with your joining instructions.

Course Content

Day 1

Lambda Expressions

  • Why Java 8?
  • Behaviour parameterisation
  • More flexible code
  • Anonymous classes
  • What is a lambda?
  • Syntax
  • Functional interfaces: where to use lambda expressions?
  • java.util.function
  • Refactoring/putting together exercise
  • Method references: firstclass
  • Functions in Java 8
  • Method references recipes
  • Type checking
  • Type inference
  • Using local variables


  • Collection Processing
  • What is a Stream?
  • Stream operations and patterns
  • Filtering
  • Mapping
  • Finding and Matching
  • Reducing
  • minBy/maxBy
  • Stream Optimization
  • The reduce pattern
  • Eager vs Lazy
  • Shortcircuiting and Loop Fusion

Exercise: financial data processing (part 1)


  • Grouping and partitioning
  • Collection Operations
  • Collecting to lists and sets
  • Flexible Collection
  • Arithmetic collectors
  • Max/Min
  • Average/Count/Sum
  • Summary statistics
  • Advanced Queries
  • Beyond grouping and partitioning
  • Downstream collectors

Exercise: financial data processing (part 2)

Mutable Reduction

  • Extending the reduce pattern
  • Reducing collector

Day 2

Easy Data Parallelism

  • What is Data Parallelism?
  • Why is this important?
  • Parallelising your streams
  • Parallel Gotchas
  • Misuse of reduce
  • Don’t use Locks
  • Danger of mutability
  • Decomposing performance

Testing & Debugging Lambda Expressions

  • Unit testing lambda expressions
  • Debugging with laziness
  • Stack traces

Practical: Hands on Debugging

Default and static methods on interfaces

  • Motivation for default methods
  • Static methods in interface
  • Useful default methods
  • Patterns for default methods
  • Resolution rules

Enhanced Design with Lambdas

  • Execute around: resource handling
  • Deferred execution: Logging
  • Design patterns
  • Command
  • Strategy
  • Observer
  • Template
  • Factory
  • Processing pipeline

Date & Time in Java 8

  • The problem with existing date and time libraries
  • The core classes: LocalDate/LocalTime
  • Common API Patterns

Optional data types

  • The problem with null
  • How Optional improves upon null
  • How to use Optional in your code
  • Creating Optional objects
  • Default values and actions
  • Transforming Optionals with map
  • Chaining Optionals with flatMap
  • Rejecting values with filter

Enhanced Concurrency with Lambdas

  • Introduction to Concurrency
  • Future and ExecutorService
  • CompletableFutures

Day 3

Asynchronous vs Synchronous Programming

  • Servlets

  • Asynchronous Servlets (3.0)

  • Why use asynchronous communications?

    • Performance
    • Testability
    • Fault Tolerance
  • Timeouts

Approaches to Concurrency

  • The Reactive Manifesto and Functional Reactive Programming

  • Models of Concurrency

    • Event Based
    • Promises
    • The Actor Model
    • Reactive Streams

Promises using Completable Futures

  • Motivation

  • Composition

  • Exception handling

  • Alternative Promise Implementations

The Actor Model with Akka

  • What are Actors?

  • Using Akka

  • Testing actors

  • Alternative Actor Implementations

Reactive Streams with RxJava

  • Introducing Reactive Streams

  • Pull vs. push models

  • Using RxJava

  • Java 9 Flow API

  • Alternative Reactive Stream Implementations

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