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add debezium deep dive to top level page
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= Debezium | ||
include::_attributes.adoc[] | ||
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Learn the basics of change data capture with link:https://debezium.io[Debezium,window=_blank] in one module of 1 hour. + | ||
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image::debeziumlogo.png[Debezium logo,100,float="right"] | ||
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*Tutorial*: link:https://dn.dev/debezium-tutorial[dn.dev/debezium-tutorial,window=_blank] | ||
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*Slides*: link:https://dn.dev/debezium[dn.dev/debezium,window=_blank] | ||
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[#one] | ||
== Debezium I | ||
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[cols="1,3,2"] | ||
|=== | ||
| *Duration* | *Audience* | *Level* | ||
|1 hour | ||
|Developers and Architects | ||
|Beginner | ||
|=== | ||
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This tutorial helps you to get started with the open-source change data capture platform Debezium. You will learn about selected features and different ways, how Debezium let’s you build streaming data pipelines using popular relational and non-relational databases as data sources. Examples also show, how to stream captured change events to different sink systems, including but not limited to Apache Kafka. + | ||
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image::debezium1.png["Debezium 1"] | ||
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What you will learn: | ||
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* The fundamentals about Debezium | ||
* Benefits of log-based change data capture (CDC) | ||
* Databases which are supported by Debezium | ||
* 3 ways to run / work with Debezium | ||
* Using Debezium's PostgreSQL connector to publish database changes to Apache Kafka | ||
* Running Debezium Server to set up a CDC pipeline between PostgreSQL and a web API endpoint | ||
* Working with Debezium UI to configure and inspect a MySQL source connector |