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Recorded Webinar

Enriching Data Streams with Hazelcast Jet

60 minutes
Recorded November 8, 2018

Enrichment is a frequent technical use case in stream processing. It is a translation of the traditional star schema into the low-latency continuous processing world: the stream of facts is enriched using slowly changing dimension data.

Hazelcast Jet 0.7, released in October 2018, introduces new tools to make enrichment more convenient:

  • A streaming lookup API allowing you to enrich streams with data from a Hazelcast distributed cache or any other remote system of record
  • Custom connector API to retrieve lookup data from a variety of sources
  • Management Center to inspect the data flow in real-time

In this webinar you will learn how to do high-performance stream enrichment. We’ll discuss multiple ways of enrichment, explaining the trade-offs. We will feature hands-on examples and live coding using Hazelcast Jet 0.7.


Marko Topolnik, Senior Software Engineer at Hazelcast

Marko Topolnik is a senior engineer in the Jet Core team. He has been with Hazelcast® since 2015, holds a PhD in computer science and has a six-figure score on Stack Overflow.

Vladimír Schreiner, Product Manager at Hazelcast

Is a product manager coming from an engineering background. Ten years of building internal software platforms and development infrastructure has made him passionate about new technology and finding ways to simplify data processing.