Introduction to data streaming

Track

Trends & Future

Date and time

-

Room

-

Duration

45'

While “software is eating the world”, those who are able to best manage the huge mass of data will emerge out on the top.The batch processing model has been faithfully serving us for decades. However, it might have reached the end of its usefulness for all but some very specific use-cases. As the pace of businesses increases, most of the time, decision makers prefer slightly wrong data sooner, than 100% accurate data later. Stream processing - or data streaming - exactly matches this usage: instead of managing the entire bulk of data, manage pieces of them as soon as they become available.In this talk, I’ll define the context in which the old batch processing model was born, the reasons that are behind the new stream processing one, how they compare, what are their pros and cons, and a list of existing technologies implementing the latter with their most prominent characteristics. I’ll conclude by describing in detail one possible use-case of data streaming that is not possible with batches: display in (near) real-time all trains in Switzerland and their position on a map. I’ll go through the all the requirements and the design. Finally, using an OpenData endpoint and the Hazelcast platform, I’ll try to impress attendees with a working demo implementation of it.

Lecture details

Type: Lecture
Level of difficulty: General
Experience Level: No experience
Desirable listeners function: Developer , System Arhitect , Strategic Decision Makers
Group of activity: Trends & Future

About speaker

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Organizers

The conference is organized by the Croatian Association of Oracle users & Croatian Java Users Association. 

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