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Spark: The Definitive Guide: Big Data Processing Made Simple,Used
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Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the opensource clustercomputing framework. With an emphasis on improvements and new features in Spark 2.0, authors Bill Chambers and Matei Zaharia break down Spark topics into distinct sections, each with unique goals. You'll explore the basic operations and common functions of Spark's structured APIs, as well as Structured Streaming, a new highlevel API for building endtoend streaming applications.
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- Q: How many pages does this book have? A: This book has six hundred three pages. It offers a comprehensive guide to Apache Spark, covering various aspects of big data processing.
- Q: What are the dimensions of this book? A: The dimensions of this book are seven point zero one inches by one point two six inches by nine point zero two inches. These sizes make it portable and easy to handle.
- Q: What type of binding does this book have? A: This book has a paperback binding. This choice of binding makes it lightweight and flexible for reading.
- Q: Who is the author of this book? A: The author of this book is Bill Chambers. He co-wrote this definitive guide with Matei Zaharia, the creators of Apache Spark.
- Q: Is this book suitable for beginners? A: Yes, this book is suitable for beginners. It covers the basics of Apache Spark in a clear and accessible manner.
- Q: Can I use this book for learning machine learning techniques? A: Yes, this book includes sections on machine learning techniques. It discusses how to apply MLlib, Spark's scalable machine-learning library.
- Q: How do I monitor and tune Spark applications described in this book? A: You can monitor and tune Spark applications by following the guidelines provided in the book. It offers insights into debugging and optimizing Spark performance.
- Q: Is this book good for advanced users? A: Yes, this book is also beneficial for advanced users. It delves into advanced topics like Structured Streaming and Spark's low-level APIs.
- Q: What is the focus of the book's content? A: The book focuses on big data processing using Apache Spark. It emphasizes new features and improvements introduced in Spark two point zero.
- Q: What if I receive a damaged copy of this book? A: If you receive a damaged copy, you should contact the seller for a return or exchange. Most sellers offer customer support for such issues.
- Q: Is there a warranty for this book? A: No, books typically do not come with a warranty. However, you can inquire about return policies from the retailer.
- Q: How should I store this book to keep it in good condition? A: You should store this book in a cool, dry place. Avoid exposing it to direct sunlight to prevent fading and damage.
- Q: What if I have questions while reading this book? A: If you have questions, you can look for online forums or communities dedicated to Apache Spark. There are many resources available for additional support.
- Q: Can this book help me build streaming applications? A: Yes, this book provides insights into building end-to-end streaming applications using Structured Streaming. It covers essential concepts thoroughly.
- Q: Are there exercises or examples in this book? A: Yes, the book includes worked examples and exercises. These help reinforce the concepts and techniques discussed throughout.