Moving to new ground

So far, we have talked mostly about simple persisted data and caches, but in reality, we should not think of Hazelcast as purely a cache. It is much more powerful than just that. It is an in-memory data grid that supports a number of distributed collections, processors, and features. We can load the data from various sources into differing structures, send messages across the cluster, perform analytical processing on the stored data, take out locks to guard against concurrent activity, and listen to the goings-on inside the workings of the cluster. Most of these implementations correspond to a standard Java collection or function in a manner that is comparable to other similar technologies. However, in Hazelcast, the distribution ...

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