Learning Spark: Lightning-Fast Big Data Analysis

by Holden Karau, Andy Konwinski, Patrick Wendell, and Matei Zaharia
Learning Spark: Lightning-Fast Big Data Analysis cover
Good Books rating 4.27
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Technical
  • ID: 8435
  • Added: 2025-12-21
  • Updated: 2025-12-21
  • Reviews: 3
Reviews
Amazon · Amazon Customer · 2025-12-21
good 4.30

Spark is a tough subject, but this book makes it more approachable with its practical examples and clear explanations. It is a valuable resource for anyone looking to learn Spark.

Learning Spark can be a challenging task, but this book makes it more approachable with its practical examples and clear explanations. The authors have done a great job of breaking down complex concepts into manageable pieces, making it easier for readers to understand and apply them. The book is filled with real-world examples and code snippets, which help to reinforce the concepts and make them more tangible. While the subject matter can be tough, the book's practical approach makes it a valuable resource for anyone looking to learn Spark. It is highly recommended for both beginners and experienced data engineers.

Quick quotes

    Spark is a tough subject, but this book makes it more approachable with its practical examples and clear explanations.

    The book is filled with real-world examples and code snippets, which help to reinforce the concepts.

    It is highly recommended for both beginners and experienced data engineers.

O'Reilly · 2025-12-21
excellent 4.50

This book is a comprehensive guide to Apache Spark, covering both basic and advanced topics. It is praised for its practical examples and clear explanations, making it suitable for both beginners and experienced data engineers.

This book is a fantastic resource for anyone looking to get started with Apache Spark. It covers a wide range of topics, from the basics of setting up Spark to more advanced techniques like machine learning and graph processing. The authors do an excellent job of explaining complex concepts in a clear and concise manner, making it accessible to readers of all levels. The book is filled with practical examples and code snippets, which help to reinforce the concepts and make them easier to understand. Additionally, the book has been recently updated to cover Spark 1.3, ensuring that the information is up-to-date and relevant. Overall, it is a highly recommended resource for anyone looking to work with big data efficiently.

Quick quotes

    This book is a comprehensive guide to Apache Spark, covering both basic and advanced topics.

    The authors do an excellent job of explaining complex concepts in a clear and concise manner.

    The book is filled with practical examples and code snippets, which help to reinforce the concepts.

Fishbowl · 2022-12-08
great 4.00

This book is one of the excellent resources available for learning Apache Spark and Databricks. It is praised for its comprehensive coverage and practical examples.

In the world of big data, having the right resources is crucial. This book is one of the excellent resources available for learning Apache Spark and Databricks. It covers a wide range of topics, from the basics of setting up Spark to more advanced techniques like machine learning and graph processing. The book is filled with practical examples and code snippets, which help to reinforce the concepts and make them easier to understand. The authors have done an excellent job of explaining complex concepts in a clear and concise manner, making it accessible to readers of all levels. Whether you are a beginner or an experienced data engineer, this book is a valuable resource that can help you work with big data efficiently.

Quick quotes

    This book is one of the excellent resources available for learning Apache Spark and Databricks.

    It covers a wide range of topics, from the basics of setting up Spark to more advanced techniques.

    The book is filled with practical examples and code snippets, which help to reinforce the concepts.

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