Companies need a data-processing solution that increases the speed of business agility, not one that is complicated by too many technology requirements. This requires a system that delivers continuous/real-time data-processing capabilities for the new business reality.
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.
Setting up servers and configuring software can get in the way of the problems you are trying to solve. With Hazelcast Cloud we take all of those pain points away.
Watch this webinar to learn how you can instantly fire up and then work with Hazelcast Cloud from anywhere in the world. With our auto-generated client stubs for Java, Go, Node.js, Python and .NET, we can have you connected and coding in less than a minute!
Spring Data is a popular tool in the Spring ecosystem that brings a unified approach to data access that enables
applications to treat data sources as interchangeable. An application using the Spring Data paradigm can make
CRUD and query operations through a standard repository interface and can largely ignore the specifics of the
The Spring Data for Hazelcast® module allows this behavior using Hazelcast as the backing store, implementing the @Repository interface and with querying capabilities.
From a developer’s perspective, repository access is standardized, there’s no need to know how that the backend
is Hazelcast, simplifying their personal tech stack.
From an architecture’s viewpoint, all the benefits of Hazelcast (speed, scaling, resilience, etc) can be obtained for minimal effort.
After the webinar, visit https://github.com/hazelcast/spring-data-hazelcast for the implementation of Spring Data Hazelcast and tests in src/test/java
Neil is a solution architect for Hazelcast®, the world’s leading open source in-memory data grid.
In more than 25 years of work in IT, Neil has designed, developed and debugged a number of software systems for companies large and small.