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

Fraud Detection with In-Memory Machine Learning

White Paper

Businesses are developing new methods to identify fraud with in-memory machine learning models for predictive analytics. By moving these models to in-memory technologies, data scientists are able to increase both the speed and accuracy of model development and performance.

In this paper, we will introduce machine learning and explain its role in fraud detection. We will cover the challenges that data science teams face in deploying their models. Then we will explore the business implications of succumbing to the status quo, along with the technology implications to deliver in-memory machine learning for fraud detection in the real world.

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