Get Started

Get Started

These guides demonstrate how to get started quickly with Hazelcast IMDG and Hazelcast Jet.

Hazelcast IMDG

Learn how to store and retrieve data from a distributed key-value store using Hazelcast IMDG. In this guide you’ll learn how to:

  • Create a cluster of 3 members.
  • Start 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 data balancing capabilities of Hazelcast

Hazelcast Jet

Learn how to build a distributed data processing pipeline in Java using Hazelcast Jet. In this guide you’ll learn how to:

  • Install Hazelcast Jet and form a cluster on your computer
  • Build a simple pipeline that receives a stream of data, does some calculations and outputs some results
  • Submit the pipeline as a job to the cluster and observe the results
  • Scale the cluster up and down while the job is still running

Edge-to-Cloud Computing for Next Generation Internet of Things


For decades, a sharp divide was drawn between information technology (IT) and operational technology (OT). The former is concerned with enabling data-driven business decisions, and the latter is concerned with monitoring and controlling physical processes, from factory floors to ATM machines, to connected vehicles. Only recently has there emerged a data-centric approach to IoT applications that seeks to bridge the gap between the IT and OT universes. The objective is to create a single, unified data plane that extends across the enterprise, from edge computing devices right into corporate data centers.

This “edge-to-cloud” approach requires a new software stack that emphasizes low latency, high reliability, and flexible data models. Meeting these challenges lets you deliver business insight and superior operations control at break-neck speed, even over the vast, heterogeneous data sets generated by modern intelligent devices. This webinar presents a modern “edge-to-cloud” reference architecture and discusses strategies for building data-centric IoT applications using Hazelcast as an example technology.

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