You're reading from Modern Data Architectures with Python

Product typeBook

Published inSep 2023

Reading LevelExpert

PublisherPackt

ISBN-139781801070492

Edition1st Edition

Languages

Python

Concepts

Data Science

Author (1)

Brian Lipp

Kafka Connect

Confluent noticed that many tasks are almost cookie-cutter and could be shared across projects and clients. One example might be listening to a topic and copying it into a Snowflake table. Confluent created Connect to allow engineers to create very generic tasks and deploy them to a cluster to run those tasks. If you need a source or sink connector that doesn’t exist, you can build your own. Connect is a very robust platform that can be a major pipeline component. Connect also offers some basic transformations, which can be very useful. Confluent Cloud offers a hosted connect cluster the same way it offers Schema Registry and Kafka Core.

To access Connect in Confluent Cloud, we will navigate to our cluster and then look for the Connectors option in the menu bar.

Figure 5.10: The Connectors option in the menu bar

Next, we can set up a simple connector that creates fake data. We will then have the option to add a new connector.

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Modern Data Architectures with Python

Published in: Sep 2023Publisher: PacktISBN-13: 9781801070492

Author (1)

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

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