Develop modern applications with the open Java ecosystem.
The Java programming language is a high-level, object-oriented language. It is rapidly evolving across several fronts to simplify and accelerate development of modern applications.
Learn how to build two gatherers: one that processes a stream of strings into a stream of characters and one that processes the stream of characters into a stream of strings each with a maximum size.
With the java.util.stream package, you can concisely and declaratively express possibly-parallel bulk operations on collections, arrays, and other data sources. In this series by Java Language Architect Brian Goetz, get a comprehensive understanding of the Streams library and learn how to use it to best advantage.
Learn how the Arrow Flight service provided by IBM Cloud Pak for Data can be used to read and write data sets from within a Spark Java application that is deployed in IBM Analytics Engine. Arrow Flight provides a common interface for Spark applications to interact with a variety of different data sources.
In this tutorial, we’ll create applications that use the AMQP open messaging protocol which IBM MQ supports with QPid AMQP JMS APIs. We’ll run these applications as standard Java applications, as Quarkus applications, and finally as GraalVM applications.
Microservices are definitely the hot new thing in commercial application development. The term microservice has replaced Agile, DevOps, and RESTful as the hot new buzzword that all resumes and conference talks have to feature. But microservices are more than just a buzzword or a passing fad. In fact, they are the evolution of all of these previous concepts and an approach that has begun to show the promise of cutting through a number of long-standing issues in application development.
This fourth installment of the Java Streams series identifies and explains factors that determine the effectiveness of parallel processing, putting them into historical and technical context. An understanding of these factors provides a foundation for making optimal use of the Streams library for parallel execution.
Explore the Java Streams library in this series by Java Language Architect Brian Goetz. By taking advantage of the power of lambda expressions, the java.util.stream package makes it easy to run functional-style queries on collections, arrays, and other data sets.
About cookies on this siteOur websites require some cookies to function properly (required). In addition, other cookies may be used with your consent to analyze site usage, improve the user experience and for advertising.For more information, please review your cookie preferences options. By visiting our website, you agree to our processing of information as described in IBM’sprivacy statement. To provide a smooth navigation, your cookie preferences will be shared across the IBM web domains listed here.