What Is Distributed Computing?
Distributed Computing with Hazelcast
Today’s amounts of collected data are showing a nearly exponential growth. More than 75% of all the data have been collected in the past 5 years. To store this data and process it in an appropriate time you need to partition the data and parallelize the processing of reports and analytics. This journey will give an interactive introduction into Distributed and In-Memory Computing with Hazelcast – containing a few slides, some live-coding and last but not least discussions and questions.
How In-Memory Computing Enables a New Generation of Microservices
The first generation of microservices was envisioned as stateless request-response endpoints. But it’s now clear that microservices must often maintain some state. Join us for this webinar where we will discuss why today’s business solutions need a next-generation microservices 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.
Intro to Hazelcast In-Memory Distributed Computing on OpenShift
Chris Engelbert presents to the OpenShift Commons how to deploy the leading open source in-memory data grid, Hazelcast, on the leading open source platform-as-a-service, OpenShift by Red Hat. Chris will present the methodology for setting up Hazelcast Discovery Service Provider Interface with Docker and Kubernetes on the OpenShift platform.