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Modern Data Architectures with Python

You're reading from   Modern Data Architectures with Python A practical guide to building and deploying data pipelines, data warehouses, and data lakes with Python

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Product type Paperback
Published in Sep 2023
Publisher Packt
ISBN-13 9781801070492
Length 318 pages
Edition 1st Edition
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Author (1):
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Brian Lipp Brian Lipp
Author Profile Icon Brian Lipp
Brian Lipp
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Toc

Table of Contents (19) Chapters Close

Preface 1. Part 1:Fundamental Data Knowledge
2. Chapter 1: Modern Data Processing Architecture FREE CHAPTER 3. Chapter 2: Understanding Data Analytics 4. Part 2: Data Engineering Toolset
5. Chapter 3: Apache Spark Deep Dive 6. Chapter 4: Batch and Stream Data Processing Using PySpark 7. Chapter 5: Streaming Data with Kafka 8. Part 3:Modernizing the Data Platform
9. Chapter 6: MLOps 10. Chapter 7: Data and Information Visualization 11. Chapter 8: Integrating Continous Integration into Your Workflow 12. Chapter 9: Orchestrating Your Data Workflows 13. Part 4:Hands-on Project
14. Chapter 10: Data Governance 15. Chapter 11: Building out the Groundwork 16. Chapter 12: Completing Our Project 17. Index 18. Other Books You May Enjoy

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

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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