These guides demonstrate how to get started quickly with Hazelcast IMDG and Hazelcast Jet.
Learn how to store and retrieve data from a distributed key-value store using Hazelcast IMDG. In this guide you’ll learn how to:
Learn how to build a distributed data processing pipeline in Java using Hazelcast Jet. In this guide you’ll learn how to:
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Sr. engineer Grzegorz Piowawarek walks through the integration of Hazelcast as a Hibernate second level cache within Spring Boot
Sr. engineer Grzegorz Piowawarek walks through the integration of Hazelcast into a Quarkus application.
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.
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.
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.
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.
How a leading retailer leveraged open source in-memory technologies to accelerate financial applications
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.
This guide explains how to set up Hazelcast for hybrid and multi-cloud replication running within an OpenShift cluster.
