Streaming Analytics with Hazelcast

Am Montag, den 17. September 2018 lädt die Java Usergroup Berlin-Brandenburg zusammen mit der Akelius GmbH zum Vortrag Streaming Analytics with Hazelcast mit Riaz Mohammed, Senior Solutions Architect bei Hazelcast, ein. The talk will be held in English.

=== Streaming Analytics with Hazelcast ===
Riaz Mohammed

Big data is defined by its size, a huge volume of information to sift through to derive insights and aggregations. Fast data is defined by its speed, rapidly changing and requiring rapid analysis. What happens if you have both? A mass of data but you need quick analysis. An overnight batch won’t be good enough here. What we need is to process the data as it arrives, before it is stored, to get the earliest possible result.

To solve this problem, we’ll take a look at Hazelcast. This is a well-known In-Memory Data Grid with a streaming analytics engine known as Jet, and both of these are Java based.

We’ll take a look then at the essence of streaming analytics, the basics and some theory. Then we’ll dive into the reality, with how streaming is implemented. And to show this works, we’ll do some demos, simple coding to do powerful real-world tasks, on real-world data, in real-time. Live!

Mehr unter http://www.jug-berlin-brandenburg.de.