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

Greater Trade Visibility in Capital Markets for Back-Office Functions

White Paper

Finance, risk, operations, compliance, and treasury teams are still anchored to time-delayed batch data processing on end-of-day positions. The batch data processing paradigm of the middle- and back-office functions means that they are operating with lapses of time in which the activity is unknown. The ability to spot and immediately react to an issue that could have a systemic impact on the organization is severely limited. The goal would be to get those gaps of the unknown as small as possible.

This paper discusses a better alternative to today’s batched back-office analysis systems. You can instead run on-demand analytics only on the relevant data for your specific query. This gives you near-real-time analytics in a cost-effective manner.

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