4–7 Nov 2019
Schedule: Data sessions
15:00–15:45 Thursday, 7 November 2019
Location: M6/M7
Secondary topics:
Best Practice,
Overview,
Theoretical

Average rating:









(2.00, 2 ratings)
Robin Moffatt explores the concepts of events, their relevance to software and data engineers, and their ability to unify architectures in a powerful way. Join in to learn why analytics, data integration, and ETL fit naturally into a streaming world. Along the way, Robin leads a hands-on demonstration of these concepts in practice and commentary on the design choices made.
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15:00–15:45 Thursday, 7 November 2019
Location: M8
Secondary topics:
Best Practice,
Case Study

Average rating:









(2.50, 2 ratings)
Building a data lake is a hard task. You have to centralize all the data of the company in one place, it must be easily accessible, and governance has to be done right. And, last but not least, the price has to stay reasonable. All those aspects come up as quite a challenge. But never fear. Viacheslav Inozemtsev outlines the experience of building Zalando's data lake.
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