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You're reading from  Modern Data Architectures with Python

Product typeBook
Published inSep 2023
Reading LevelExpert
PublisherPackt
ISBN-139781801070492
Edition1st Edition
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Brian Lipp
Brian Lipp
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Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
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Schema Registry

Kafka guarantees the delivery of events sent from producers, but it does not attempt to guarantee quality. Kafka assumes that your applications can coordinate quality data between consumers and producers. On the surface, this seems reasonable and easy to accomplish. The reality is that even in ideal situations, this type of assumed coordination is unrealistic. This type of problem is common among data producers and consumers; the solution is to enforce a data contract.

The general rule of thumb is, garbage in, garbage out. Confluent Schema Registry is an attempt at building contracts for your data schema in Kafka. Confluent Schema Registry is a layer that sits in front of Kafka and stands as the gatekeeper to Kafka. Events can’t be produced for a topic unless Confluent Schema Registry first gives its blessing. Consumers can know exactly what they will get by checking the Confluent Schema Registry first.

This process happens behind the scenes, and the Confluent...

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Modern Data Architectures with Python
Published in: Sep 2023Publisher: PacktISBN-13: 9781801070492

Author (1)

author image
Brian Lipp

Brian Lipp is a Technology Polyglot, Engineer, and Solution Architect with a wide skillset in many technology domains. His programming background has ranged from R, Python, and Scala, to Go and Rust development. He has worked on Big Data systems, Data Lakes, data warehouses, and backend software engineering. Brian earned a Master of Science, CSIS from Pace University in 2009. He is currently a Sr. Data Engineer working with large Tech firms to build Data Ecosystems.
Read more about Brian Lipp