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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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Concepts
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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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Toc

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

Index

As this ebook edition doesn't have fixed pagination, the page numbers below are hyperlinked for reference only, based on the printed edition of this book.

Symbols

.show() command 95

A

actions 85

collect command 85

count command 85

first command 85

show command 85

write command 85

agents

configuring 243-248

used, for building action models 238-242

Airflow

data pipeline, building 110-117

deploying, on Kubernetes 152-155

distributed architecture, advantages 110

installing, with Astro 106

integration with other tools 117-122

working with 106

Airflow architecture 106, 107

executor 108, 109

metadata database 110

queueing 109

scheduler 108

web server 108

workers 109

Airflow DAG

building 189-192

Amazon Bedrock

used, for working with foundational models 222-224

Amazon Elastic Kubernetes Service (EKS) 46

Amazon Resource Name (ARN) 241

Amazon Simple Storage Service...

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