Hazelcast Platform uniquely combines a distributed compute engine and a fast data store in one runtime. It offers unmatched performance, resilience and scale for real-time and AI-driven applications. It allows
Hazelcast Platform uniquely combines a distributed compute engine and a fast data store in one runtime. It offers unmatched performance, resilience and scale for real-time and AI-driven applications.
which is not the original data source per se, but is an intermediary store that can hold data in order to serve both the batch layer and the speed layer of the Lambda Architecture
real-time stream processing now means what it says. Processing times can be measured in microseconds (one millionth of a second) rather than in hours or days.
The support altogether in 3.0 was removed for Apache ActiveMQ , Apache Solr, Atomikos, EhCache 2, and Hazelcast 3. Eclipse Yasson is now a replacement for Apache Johnzon (JSON-B). Dependency management for RxJava 1.x - 2.x is removed in favor of RxJava 3. ...
previous chapter but are useful to professionals. In this chapter, there are recipes dedicated to how to enable Hibernate 5, WebSocket, and HazelCast caching. Also, there are others written to showcase the reactive features of Spring 5 such as Spring Data JPA, Spring Data MongoDB, and Kotlin...
Spring Boot 3.0.0-M1 has also removed support for a few additional dependencies, including Apache ActiveMQ, Atomikos, EhCache 2, and HazelCast 3. Jersey is another notable deprecation, and has been removed until it offers support for Spring Framework 6. There have also been a number of config...
JEP 413:Code Snippets in Java API Documentation falls into the second category,Java Tools. This JEP introduces the@snippettag for Oracle'sStandard Doclet, the well-known Java API documentation utility that produces the default HTML-formatted output. The intent is to simplify the inclusion of exam...
Stream processing use cases typically involve event data that is generated by some action and upon which some action should immediately occur. Everyday use cases forinclude: processes in a batch manner post-transaction. With stream processing, as soon as you swipe your card, they can run more ...
Deserialization is the process of reconstructing a data structure or object from a series of bytes or a string in order to instantiate the object for consumption.