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

Neylson Crepalde

$39.99

Paperback Jul 2024 296 pages 1st Edition

Neylson Crepalde

$39.99

Paperback Jul 2024 296 pages 1st Edition

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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

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What do you get with Print?

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Download this book in EPUB and PDF formats

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Shipping Details

USA:

Economy: Delivery to most addresses in the US within 10-15 business days

Premium: Trackable Delivery to most addresses in the US within 3-8 business days

UK:

Economy: Delivery to most addresses in the U.K. within 7-9 business days.
Shipments are not trackable

Premium: Trackable delivery to most addresses in the U.K. within 3-4 business days!
Add one extra business day for deliveries to Northern Ireland and Scottish Highlands and islands

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Rest of the World:

Premium: Countries in the American continent: Trackable delivery to most countries within 4-7 business days

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Unfortunately, due to several restrictions, we are unable to ship to the following countries:

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Central African Republic
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Eritrea
Guinea-bissau
Iran
Lebanon
Libiya Arab Jamahriya
Somalia
Sudan
Russian Federation
Syrian Arab Republic
Ukraine
Venezuela

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

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