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

Resources

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Maintaining an Online Edge in Today’s Highly Competitive Banking World

Case Study

BNP Paribas S.A. is a French international banking group and one of the largest banks in the world by total assets.

Spring Data JPA and Hazelcast as Hibernate’s Second Level Cache

Video
| Video

Sr. engineer Grzegorz Piowawarek walks through the integration of Hazelcast as a Hibernate second level cache within Spring Boot

Quarkus and Hazelcast Client Extension

Video
| Video

Sr. engineer Grzegorz Piowawarek walks through the integration of Hazelcast into a Quarkus application.

From Edge to Cloud: Boosting Data-Driven Business Performance in Times of Uncertainty

Webinar
| Video
| 60 minutes

Join Hazelcast and Intel for this deep dive into how your organization can create a single, unified data plane that extends all the way from the myriad things at the edge of your business right into your corporate cloud or data center.

Machine Learning Inference at Scale with Python and Stream Processing

Webinar
| Video
| 60 minutes

In this talk we will show you how to write a low-latency, high throughput distributed stream processing pipeline (in Java), using a model developed in Python.

IBM, Hazelcast, and Intel on Transforming Customer Experience at the Edge

Webinar
| Video
| 60 minutes

Edge computing is opening new avenues for organizations of all sizes, across industries, and across markets. By leveraging a data-driven ecosystem at the edge we can optimize both internal and customer-facing processes.

Hazelcast Cloud Enterprise: Getting Started on Azure

Video
| Video

In this video, we give an update on just a few of the many new features that have been added to Hazelcast Cloud Enterprise since it was launched earlier this year.

Retail Success Requires Back-Office Performance and Agility

Case Study

How a leading retailer leveraged open source in-memory technologies to accelerate financial applications

Multi-Cloud Deployments – Run Hazelcast Anywhere and Everywhere

Video
| Video

Hazelcast adds in-memory speeds to your applications, and includes capabilities that allow running multiple clusters on different IaaS and PaaS systems, while ensuring data across all clusters remains consistent and in sync. This walks through one such example of a multi-cloud deployment with Hazelcast.

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