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Big Data on Kubernetes

You're reading from   Big Data on Kubernetes A practical guide to building efficient and scalable data solutions

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Product type Paperback
Published in Jul 2024
Publisher Packt
ISBN-13 9781835462140
Length 296 pages
Edition 1st Edition
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Author (1):
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Neylson Crepalde Neylson Crepalde
Author Profile Icon Neylson Crepalde
Neylson Crepalde
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Table of Contents (18) Chapters Close

Preface 1. Part 1:Docker and Kubernetes FREE CHAPTER
2. Chapter 1: Getting Started with Containers 3. Chapter 2: Kubernetes Architecture 4. Chapter 3: Getting Hands-On with Kubernetes 5. Part 2: Big Data Stack
6. Chapter 4: The Modern Data Stack 7. Chapter 5: Big Data Processing with Apache Spark 8. Chapter 6: Building Pipelines with Apache Airflow 9. Chapter 7: Apache Kafka for Real-Time Events and Data Ingestion 10. Part 3: Connecting It All Together
11. Chapter 8: Deploying the Big Data Stack on Kubernetes 12. Chapter 9: Data Consumption Layer 13. Chapter 10: Building a Big Data Pipeline on Kubernetes 14. Chapter 11: Generative AI on Kubernetes 15. Chapter 12: Where to Go from Here 16. Index 17. Other Books You May Enjoy

Streaming from a database with Kafka Connect

In this section, we will read all data that is generated in a Postgres table in real time with Kafka Connect. First, it is necessary to build a custom image of Kafka Connect that can connect to Postgres. Follow these steps:

  1. Let’s create a different folder for this new exercise. First, create a folder named connect and another folder inside it named kafka-connect-custom-image. Inside the custom image folder, we will create a new Dockerfile with the following content:
    FROM confluentinc/cp-kafka-connect-base:7.6.0
    RUN confluent-hub install --no-prompt confluentinc/kafka-connect-jdbc:10.7.5 \
    && confluent-hub install --no-prompt confluentinc/kafka-connect-s3:10.5.8

    This Docker file bases itself on the confluent Kafka Connect image and installs two connectors – a JDBC source/sink connector and a sink connector for Amazon S3. The former is necessary to connect to a database while the latter will be very handy for delivering...

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