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

Modern Platform for Always-On Digital Retail


Retail has become truly digital. Customers demand frictionless always-on experiences across all devices and all channels. Trends such as Touchless Retail and Buy-Online Pick-up Curbside or in-store are only accelerating in the current environment. At the same time, technologies such as Edge Computing, Machine Learning, and Augmented Reality are driving innovation and disruption.

To meet these challenges, retailers must rethink their architectures and applications. They must adopt a boundaryless, integrated digital architecture that works seamlessly from Edge to Cloud to Data Center.

IBM, Intel, and Hazelcast are working together to deliver integrated solutions to meet these challenges. In this webinar, they will discuss the Modern Digital Platform that meets these needs, leveraging In-Memory Computing, Cognitive and Edge Computing, and Innovative hardware advances such as Intel Optane Persistent Memory to deliver a platform that is easy to operate and always-on. Topics will include top use-cases such as Touchless Retail, Smart Kiosk/Vending, and Personalized Experiences and architectures to support them.

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