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!
Today, the average enterprise has data streaming into business-critical applications and systems from a dizzying array of endpoints, from smart devices and sensor networks, to web logs and financial transactions. This onslaught of fast data is growing in size, complexity and speed, fueled by increasing business demands along with the rise of the Internet of Things. Therefore, it is no surprise that operationalizing insights at the point-of-action has become a top priority.
Many new technologies are coming to the forefront to facilitate real-time analytics, including in-memory platforms, self-service BI tools and all-flash storage arrays. To educate its readers about the key ingredients for success in building a fast data system, Database Trends and Applications is hosting a special roundtable webinar on February 23rd. Attendees will learn about enabling technologies, important success factors and real-world use cases.