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

Credit Value Adjustment Calculation Reference Architecture

White Paper

Credit value adjustment risk calculation is a common example of a massive, parallelized computation system in the financial services industry. Computing costs are high but necessary, considering the importance of the calculations from both a financial risk and regulatory perspective. However, distributed, cloud-based systems can change that by reducing overall costs with a flexible, pay-per-use model that avoids up-front spending on resources that are not used 24/7.

This reference architecture whitepaper discusses why a cost-effective, “straight-through-processing” credit value adjustment risk calculation system is a worthy pursuit for financial services companies. A combination of in-memory storage, stream processing, and distributed computing serves as a model for a large-scale calculation that involves tens of thousands of CPU cores.

While the use case in this paper focuses on risk calculation, this architecture and the associated technologies apply to other massive deployments in a variety of industries.

Loading
Join Us On Slack