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Big Data on Kubernetes
Big Data on Kubernetes

Big Data on Kubernetes : A practical guide to building efficient and scalable data solutions

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Profile Icon Neylson Crepalde
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Paperback Jul 2024 296 pages 1st Edition
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₱579.99 ₱1632.99
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₱2040.99
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Arrow left icon
Profile Icon Neylson Crepalde
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Free Trial
Paperback Jul 2024 296 pages 1st Edition
eBook
₱579.99 ₱1632.99
Paperback
₱2040.99
Subscription
Free Trial
eBook
₱579.99 ₱1632.99
Paperback
₱2040.99
Subscription
Free Trial

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Big Data on Kubernetes

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:

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Key benefits

  • Leverage Kubernetes in a cloud environment to integrate seamlessly with a variety of tools
  • Explore best practices for optimizing the performance of big data pipelines
  • Build end-to-end data pipelines and discover real-world use cases using popular tools like Spark, Airflow, and Kafka
  • Purchase of the print or Kindle book includes a free PDF eBook

Description

In today's data-driven world, organizations across different sectors need scalable and efficient solutions for processing large volumes of data. Kubernetes offers an open-source and cost-effective platform for deploying and managing big data tools and workloads, ensuring optimal resource utilization and minimizing operational overhead. If you want to master the art of building and deploying big data solutions using Kubernetes, then this book is for you. Written by an experienced data specialist, Big Data on Kubernetes takes you through the entire process of developing scalable and resilient data pipelines, with a focus on practical implementation. Starting with the basics, you’ll progress toward learning how to install Docker and run your first containerized applications. You’ll then explore Kubernetes architecture and understand its core components. This knowledge will pave the way for exploring a variety of essential tools for big data processing such as Apache Spark and Apache Airflow. You’ll also learn how to install and configure these tools on Kubernetes clusters. Throughout the book, you’ll gain hands-on experience building a complete big data stack on Kubernetes. By the end of this Kubernetes book, you’ll be equipped with the skills and knowledge you need to tackle real-world big data challenges with confidence.

Who is this book for?

If you’re a data engineer, BI analyst, data team leader, data architect, or tech manager with a basic understanding of big data technologies, then this big data book is for you. Familiarity with the basics of Python programming, SQL queries, and YAML is required to understand the topics discussed in this book.

What you will learn

  • Install and use Docker to run containers and build concise images
  • Gain a deep understanding of Kubernetes architecture and its components
  • Deploy and manage Kubernetes clusters on different cloud platforms
  • Implement and manage data pipelines using Apache Spark and Apache Airflow
  • Deploy and configure Apache Kafka for real-time data ingestion and processing
  • Build and orchestrate a complete big data pipeline using open-source tools
  • Deploy Generative AI applications on a Kubernetes-based architecture

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Jul 19, 2024
Length: 296 pages
Edition : 1st
Language : English
ISBN-13 : 9781835462140
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Languages :
Concepts :
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Product Details

Publication date : Jul 19, 2024
Length: 296 pages
Edition : 1st
Language : English
ISBN-13 : 9781835462140
Category :
Languages :
Concepts :
Tools :

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Table of Contents

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