Get Started with Hazelcast
The goal of streaming systems is to process big data volumes and provide useful insights into the data prior to saving it to long-term storage. This white paper introduces you to the domain of stream processing covering topics such as use cases that benefit from stream processing, the building blocks of a stream processing solution, key concepts used when building a streaming pipeline, and runtime aspects and trade-offs between performance and correctness.
Learn about using MapReduce with Hazelcast in this webinar.
This talk identifies several shortcomings of Apache Hadoop and presents an alternative approach for building simple and flexible Big Data software stacks quickly based on next generation computing paradigms.
Part #1 of a four-part training webinar series.
Part #2 of a four-part training webinar series.
Part #3 of a four-part training webinar series.
Part #4 of a four-part training webinar series.
This webinar will start with a simple JAX-RS/JPA application. We will turn this standard Java EE application, step by step, into a fully clustered application using a CDI extension and producers to integrate Hazelcast, as a JCache provider.
Learn how IoT applications can benefit by combining Apache Kafka and Hazelcast IMDG.
Learn how Hazelcast can achieve significant performance boosts by using Torusware, the high-speed middleware by TORUS Software Solutions
This webinar gives you an overview of SunGard’s main use cases and how Hazelcast helped them to deliver award-winning risk systems to some of the biggest financial institutions in the world.
Microservices, as an architectural approach, has shown a great deal of benefit over the legacy style of monolithic single applications. Nevertheless, microservices are not without their drawbacks. The purpose of this white paper is to show first steps for using Spring Boot and Hazelcast IMDG contribute to the microservices landscape, enhancing the benefits and alleviating some of the common downsides.
This paper is intended for software developers and architects who are planning a Big Data, IoT, or low latency application that requires scalable, high-performance processing, and want to understand the critical infrastructure requirements.
Java Champion, Ben Evans, will provide an introduction to stream processing and teach more about core techniques and how to get started building a stream processing application using real world use cases and live demos.
Hazelcast is now available as a Tile on Pivotal Cloud Foundry (PCF). In this webinar, Rahul Gupta, Senior Solution Architect, will take you through a demonstration of what this is and a demo of how it works.
Since version 3.4, Hazelcast engineers have invested months of effort to make broad-based, across-the-board performance enhancements. As a result, the Hazelcast 3.5 release enjoys a wide array of significant performance improvements over the 3.4 version.
Get up and running with the Hazelcast IMDG C# / .NET Client quickly with this easy to use reference card.
Hazelcast IMDG on Azure: Best Practices for Deployment highlights best practices for cloud architects and developers gearing up Hazelcast applications to a virtual cloud environment.
How to Achieve Developer-friendly, Resilient Workflow Automation with Camunda and Hazelcast.
Learn about HazelcastMQ in this webinar.
Hazelcast IMDG® has been a popular choice with MuleSoft users to cache data in an external in-memory cluster. This is also a very easy way to pass data or share state from one service to another. This document provides a step-by-step guide on how to store, retrieve and share data between services using an external Hazelcast cluster from multiple MuleSoft services.
Payara 4.1.151 was released at the end of January and one of the new enhancements is Hazelcast session persistence. Technical Director and Founder of Payara, Steve Millidge teamed up with Hazelcast to demonstrate the new feature in action.
Join us for this webinar on Hazelcast Striim Hot Cache, where we’ll show you how to keep your cache hot with real-time, push-based synchronization. Live Q&A after the webinar.
This tutorial will provide step-by-step guidance on how to maximize your Hazelcast IMDG performance with serialization.
This webinar will provide a hands-on demonstration of how to maximize your Hazelcast performance with serialization.
Most Powerful Java Runtime Meets Fastest In-memory Data Grid for Demanding Enterprise Workloads | Azul Systems & Hazelcast
Join this webinar to learn how the combination of Hazelcast plus Azul System’s Zing Java Virtual Machine (JVM) delivers compelling benefits to the enterprise.
Learn how and why Hazelcast is being used with OrientDB to achieve scale, elasticity and performance.
In this webinar we’ll introduce you to the Hazelcast Web Session Replication module. This module makes replicating and distributing data easier than ever.
Ben Cotton imparts his knowledge on juicing shared memory performance. In this webinar you’ll learn the importance of Advanced Data Locality and Data IPC Transports wrt to Java distributed cache data grids.
Join guest speaker Mike Gualtieri, Principal Analyst at Forrester Research, Greg Luck, CEO of Hazelcast, and Ken Kolda, Software Architect of Ellie Mae on this radio-show style webinar to boost your in-memory IQ.