Get Started

Get Started

These guides demonstrate the operational flexibility and speed of the Hazelcast In-Memory Computing Platform. Set-up in seconds, data in microseconds. Operations and developer friendly.

Hazelcast IMDG

Find out for yourself how to get a Hazelcast IMDG cluster up and running. In this Getting Started guide you’ll learn how to:

  • Create a Cluster of 3 Members.
  • Start the Hazelcast Management Center.
  • Add data to the cluster using a sample client in the language of your choice.
  • Add and remove some cluster members to demonstrate the automatic rebalancing of data and back-ups.

Hazelcast Jet

Learn how to run a distributed data stream processing pipeline in Java. In this Getting Started guide you’ll learn how to:

  • Start a Hazelcast Jet cluster in your JVM.
  • Build the Word Count application.
  • Execute the application wit Jet.
  • Push testing data to the cluster and explore results

As a next step, you will be able explore the code samples and extend your setup more features and connectors.

Streaming Data from the Network Edge

White Paper

Companies are increasingly generating huge volumes of data at the network edge. Many teams want to use data streaming from the edge to better understand their business. However, it’s not always practical to transmit these growing data volumes from the edge into a centralized data center for processing or analysis. Nor is it easy to process data near the location where it is created, as these edge environments often lack space for computer hardware, or using the available space comes with a big opportunity cost.

Read this white paper from RTInsights to get a better understanding of how you can take advantage of edge computing and create a cost-effective, distributed architecture that provides new opportunities for competitive advantage.

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