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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

Part 1:Docker and Kubernetes

In this part, you will learn about the fundamentals of containerization and Kubernetes. You will start by understanding the basics of containers and how to build and run Docker images. This will provide you with a solid foundation for working with containerized applications. Next, you will dive into the Kubernetes architecture, exploring its components, features, and core concepts such as pods, deployments, and services. With this knowledge, you will be well equipped to navigate the Kubernetes ecosystem. Finally, you will get hands-on experience by deploying local and cloud-based Kubernetes clusters and then deploying applications you built earlier onto these clusters.

This part contains the following chapters:

  • Chapter 1, Getting Started with Containers
  • Chapter 2, Kubernetes Architecture
  • Chapter 3, Kubernetes – Hands On
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Big Data on Kubernetes
Published in: Jul 2024
Publisher: Packt
ISBN-13: 9781835462140
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