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What’s New in Hazelcast IMDG 3.12

March 27, 2019
8:00am PST / 11:00am EST / 3:00pm GMT

(Not available to join us for the live webinar? No problem! Register anyway and we will be sure to send you a recording of the webinar after) The Hazelcast IMDG® 3.12 release provides major new enhancements for Open Source users, it’s no exaggeration to say this is the biggest release we’ve ever made to the Open […]

A Business Level Perspective on In-Memory Computing: In-Memory Grid vs In-Memory Database

Whitepaper
| PDF
| 9 pages

Your business operates in an environment with constantly evolving technology. For business and IT leaders, it can be overwhelming to keep up with new developments and determine what is critical to implement immediately, and what technologies can or should wait. In-memory technologies are becoming pervasive and have a direct and indirect effect on how a business operates. In-Memory Databases (IMDB) and In-Memory Data Grids (IMDG) are two technologies that address real-time computing and big data needs without having to start over with an entirely new set of IT systems. While they may sound similar, the differences are significant and understanding your options will help you make better decisions. Hazelcast has created a new whitepaper that discusses these technologies and the respective implications.

The Evolution of Stream Processing and Top Use Cases

Webinar
| Video
| 60 minutes

Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing? In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects. 

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Hazelcast Jet Benchmark Comparisons

Benchmark
| PDF

Hazelcast Jet® is an ultra-fast, application embeddable, third-generation stream processing engine for low-latency batch and stream processing. The Hazelcast Jet architecture is high-performance and low-latency-driven, based on a parallel, streaming core engine that enables data-intensive applications to operate at near real-time speeds. Hazelcast Jet is built on top of Hazelcast IMDG®, the leading Open Source in-memory data grid, with millions of production systems running globally. Hazelcast Jet processing jobs take full advantage of the distributed in-memory data structures provided by Hazelcast IMDG.

Make Your Data Science Actionable: Real-Time Machine Learning Inference with Stream Processing

Webinar
| Video
| 60 minutes

Are you ready to make your machine learning algorithms operational within your business in real time? In this webinar, we will walk through an architecture for taking a machine learning model from training to deployment for inference within an Open Source platform for real-time stream processing.

Quick Start Guide to Hazelcast IMDG

Guide
| PDF
| 19 pages

Hazelcast IMDG is a clustered, in-memory data-grid that manages application data and distributes processing using in-memory storage and parallel execution for breakthrough application speed and scale. In this Quick Start Guide, learn what an in-memory data grid can be used for, how to do simple query operations with Hazelcast IMDG, what sharing means with Hazelcast, and more. This guide is intended for software architects and developers who are planning or building systems requiring distribute infrastructure for application scalability and performance.

Enriching Data Streams with Hazelcast Jet

Webinar
| Video
| 60 minutes

Enrichment is a frequent technical use case in stream processing. It is a translation of the traditional star schema into the low-latency continuous processing world: the stream of facts is enriched using slowly changing dimension data. In this webinar you will learn how to do high-performance stream enrichment. We’ll discuss multiple ways of enrichment, explaining the trade-offs. We will feature hands-on examples and live coding using Hazelcast Jet 0.7.

The Evolution of Stream Processing and Top Use Cases

Webinar
| Video
| 60 minutes

Stream processing is a hot topic right now, especially for any organization looking to provide insights faster. But what does it mean for users of Java applications, microservices, and in-memory computing? In this webinar, we will cover the evolution of stream processing and in-memory related to big data technologies and why it is the logical next step for in-memory processing projects. 

Understanding In-Memory Technologies and Caching Strategies

Webinar
| Video
| 60 minutes

Are you a developer, software engineer or architect looking to apply in-memory technologies to your current architecture? Are you looking to deliver ultra-fast response times, better performance, scalability and availability? Are you seeking new tools and techniques to manage and scale data and processing through an in-memory-first and caching-first architecture?

What’s New in Hazelcast IMDG 3.11

Webinar
| Video
| 60 minutes

The Hazelcast IMDG® 3.11 release has been a significant community-driven effort, with Hazelcast IMDG 3.11. We are ensuring all code will be functional, with the language features and ecosystem improvements introduced in Java 9, 10 and 11. Please join us in hearing from Jaromir Hamala, head of Hazelcast® Engineering, as he takes us through the many improvements included in the Hazelcast IMDG® 3.11 release that the community has been asking for.

Hazelcast – Using In-Memory Key-Value Stores

Podcast
| Video

Join Rafal Leszko, Software Engineer at Hazelcast, as he discusses caching and other valid use cases for in-memory key-value stores. He will introduce the Hazelcast In-Memory Data Grid (IMDG) tool and present the features that inspire so many companies to choose Hazelcast over other similar solutions. Rafal will also provide details of Hazelcast OpenShift integration.

How to Deploy Cloud-Native Applications in Kubernetes

Webinar
| Video
| 60 minutes

Are you planning a cloud-native application or looking to deploy Hazelcast in the cloud? Then this webinar is for you. Kubernetes is a container orchestration system that has seen a meteoric surge in popularity.  It works with a range of container tools including Docker, or as a part of your PaaS platform, such as Red Hat Openshift Container Platform, Cloud Foundry with its Project Kubo, and Google’s KNative platform. In this webinar, we will take a look at what it means for anyone currently using or interested in using Hazelcast to build a cloud-native application. We will review how to setup and deploy using a sample application, and get you ready to have a starter application of your own running on Kubernetes.