27. August 2018
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!
Riaz Mohammed is Senior Solutions Architect at Hazelcast and has 15+ years’ experience in developing high throughput & low latency trading systems, surveillance & monitoring systems mainly in the Finance sector. He has been part of core development teams delivering global sales and trading platforms in Tier 1 Investment Banks.
Akelius GmbH, Erkelenzdamm 11-13,10999 Berlin, Germany
18:30 Uhr Einlaß
19:00 Uhr Beginn des Vortrags
Anschließend gibt es die Möglichkeit für Networking und Plausch.
Über eine Voranmeldung zu der Veranstaltung über die Meetup-Gruppe der JUG Berlin-Brandenburg würden wir uns freuen, jedoch ist die Anmeldung nicht zwingend erforderlich. Wir freuen uns auf jeden Teilnehmer.