Java Magazine May/June 2016

The May/June 2016 issue of Java Magazine focuses on Big Data and its applications. Big Data is becoming an increasingly important field as tech companies are accumulating, processing, and storing large amounts of data which can provide valuable insights on decisions to make.

It includes the following main contents:

1. Getting started with Apache Spark - an open source cluster computing framework that provides an interface for programming entire clusters with implicit data parallelism and fault-tolerance.
2. Using Apache Spark for big data and personal projects. 
3. Building a massive off-heap data queue - 100 GB of data in memory but off the heap.
4. A first look on the newly released JUnit 5. 
5. Understanding generics and how to use them to increase type safety and readability. 
6. A tutorial on Ceylon - a low-ceremony and high-productivity JVM language. 
7. A guide on how to use Oracle Java Cloud Service. 
8. Letters to the editor, upcoming Java conferences and events, a review of Java Testing with Spock, and many more.