Kafka Connect
Build Data Pipelines by Integrating Existing Systems
(Sprache: Englisch)
With this practical guide, authors Mickael Maison and Kate Stanley show data engineers, site reliability engineers, and application developers how to build data pipelines between Kafka clusters and a variety of data sources and sinks.
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With this practical guide, authors Mickael Maison and Kate Stanley show data engineers, site reliability engineers, and application developers how to build data pipelines between Kafka clusters and a variety of data sources and sinks.
Autoren-Porträt von Mickael Maison, Kate Stanley
Mickael Maison is a committer and member of the Project Management Committer (PMC) for Apache Kafka. He has been contributing to Apache Kafka and its wider ecosystem since 2015. Mickael is a software engineer with over 10 years of software development experience. While working at IBM, he was part of the Kafka team that runs hundreds of Kafka clusters for customers. He is now working in the Kafka team at Red Hat and has accumulated a lot of expertise about Kafka Connect. In addition, Mickael has developed and contributed to several connectors for Connect. He also has deep expertise in Connect's internals as he has made a number of code contributions to Connect itself and regularly reviews pull requests from the community on this component.
Finally, Mickael really enjoys sharing expertise and teaching. He has been writing monthly Kafka digests since 2018 and enjoys presenting at conferences.
Bibliographische Angaben
- Autoren: Mickael Maison , Kate Stanley
- 2023, XVIII, 380 Seiten, Masse: 17,6 x 23,1 cm, Kartoniert (TB), Englisch
- Verlag: O'Reilly Media
- ISBN-10: 109812653X
- ISBN-13: 9781098126537
- Erscheinungsdatum: 31.10.2023
Sprache:
Englisch
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