Hazelcast for Distributed Computing
The Hazelcast for Distributed Computing course provides developers the tools they need to quickly and efficiently process and query data stored in clusters — in many cases without the need for heavy weight pessimistic locking.
The Distributed Computing capability is one of the high level features of an In-Memory Data Grid. In this course, we’ll discover the Hazelcast APIs used to maximize the compute power of clusters. Candidates will learn how to use data targeted compute functions such as MapReduce, Aggregators, Entry Processors, and Executors.
With these tools, a developer will be able to quickly and efficiently process and query data stored in the cluster — in many cases without the need for heavy weight pessimistic locking. We’ll take a look at at Distributed Messaging in the form of Reliable Topics, and in the back end, their use of the new RingBuffer Data Structure. Finally, we’ll discover how to use Continuous Queries to provide reactive eventing based on data mutation within the cluster.
Discover tools to get you quickly and efficiently processing and querying data stored in clusters.
This course is designed for experiences Java developers.