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

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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

What do you get with Print?

Instant access to your digital eBook copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Download this book in EPUB and PDF formats

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

AI Assistant (beta) to help accelerate your learning

Frequently bought together

€41.99

€33.99

€29.99

Total € 105.97

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Shipping Details

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

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

What do you get with Print?