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TZID:Europe/Berlin
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DTSTART:20210613T000000
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DTSTART:20211031T030000
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SUMMARY:Changelog Stream Processing with Apache Flink - Timo Walther
DTSTART;TZID=Europe/Berlin:20220613T160000
DTEND;TZID=Europe/Berlin:20220613T164000
DTSTAMP:20261009T020649Z
UID:pretalx-bbuzz22-LRJRBX@pretalx.com
DESCRIPTION:We all know that the world is constantly changing. Data is con
 tinuously produced and thus should be consumed in a similar fashion by ent
 erprise systems. Message queues and logs such as Apache Kafka can be found
  in almost every architecture\, while databases and other batch systems st
 ill provide the foundation. Change Data Capture (CDC) has become popular t
 o capture committed changes from a database and propagate those changes to
  downstream consumers.\n\nIn this talk\, we will introduce Apache Flink as
  a general data processor for various kind of use cases on both finite and
  infinite streams. We demonstrate Flink's SQL engine as a changelog proces
 sor that is shipped with an ecosystem tailored to process CDC data and mai
 ntain materialized views. We will use Kafka as an upsert log\, Debezium fo
 r connecting to databases\, and enrich streams of various sources using di
 fferent kinds of joins.\n\nFinally\, we illustrate how to combine Flink's 
 Table API with DataStream API for event-driven applications beyond SQL.
LOCATION:Frannz Salon
URL:https://pretalx.com/bbuzz22/talk/LRJRBX/
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