Used by more than 80% of Fortune 100 companies, Apache Kafka has become the de facto event streaming platform. Kafka Connect is a key component of Kafka that lets you flow data between your existing systems and Kafka to process data in real time.
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. Connect allows you to quickly adopt Kafka by tapping into existing data and enabling many advanced use cases. No matter where you are in your event streaming journey, Kafka Connect is the ideal tool for building a modern data pipeline.
Learn Connect's capabilities, main concepts, and terminology
Design data and event streaming pipelines that use Connect
Configure and operate Connect environments at scale
Deploy secured and highly available Connect clusters
Build sink and source connectors and single message transforms and converters
Sprache
Verlagsort
Produkt-Hinweis
Broschur/Paperback
Klebebindung
Maße
Höhe: 231 mm
Breite: 176 mm
Dicke: 22 mm
Gewicht
ISBN-13
978-1-0981-2653-7 (9781098126537)
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Schweitzer Klassifikation
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.
