Understanding In-Memory Technologies and Caching Strategies
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?
Introduction to In-Memory Data Grids
The speed at which today’s evolving data is exploding (90% of all data was collected in the last 2 years) imposes complex business problems that prevailing technology platforms can not address. This is preventing Enterprises from quickly extracting business value from this data. This poses further challenges as the value of data and the insights we can get from them decrease if it takes too long to take action.
In this talk, we will learn how Hazelcast® addresses these problems and helps Enterprises overcome the challenges of extracting business value from massive scale data.
You will be introduced to Distributed Systems and In-Memory Computing with Hazelcast. This talk will cover some familiar distributed data structures like Maps, Lists, Queues, etc., along with running complex business algorithms in parallel over a Hazelcast cluster by using Distributed Executor Service, EntryProcessors and In-Memory MapReduce.
Data Caching Introduction
Three Hazelcast IMDG® users document about their experience with data caching. Includes some architecture diagrams and code examples.
An Architect’s View of the Hazelcast Platform
This white paper provides an introduction for enterprise architects and application developers to the distributed, real-time capabilities of the Hazelcast Platform.
Hazelcast In-Memory Computing Platform Brochure
When your customers and business processes demand real-time interactions and high-speed data streaming from a broad range of sources, the Hazelcast in-memory computing platform (IMCP) can deliver a comprehensive and integrated solution that is relied on by the most demanding companies in the world.