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Spark: The Definitive Guide : Big Data Processing Made Simple
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43353689
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Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing framework.
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What Stands Out
Comprehensive Coverage
Offers in-depth insights into Spark’s architecture, data processing capabilities, and ecosystem, presenting a complete guide for both beginners and advanced users in the realm of big data.
Practical Examples
Includes real-world use cases and hands-on examples, enabling readers to easily apply Spark concepts and techniques in their own big data projects, enhancing learning through practice.
Expert Insights
Written by leading authors in the field, guaranteeing quality content backed by industry expertise, making it a reliable resource for mastering big data processing with Spark.
Product Details
- Comprehensive guide for using, deploying, and maintaining Apache Spark
- Written by the creators of the open-source cluster-computing framework
- Covers improvements and new features in Spark 2.0
- Includes basics of Spark's structured APIs, Structured Streaming, monitoring, tuning, and debugging
- Explains machine learning techniques and scenarios using MLlib, Spark's scalable machine-learning library
- Features gentle overview of big data, DataFrames, SQL, Datasets, low-level APIs, and cluster execution
| Book format | Paperback |
| Fiction/nonfiction | Non-Fiction |
| Genre | Computing & Internet |
| Publication date | April, 2018 |
| Pages | 603 |
| Reading level | Professional & Vocational |
| Subgenre | Computer Engineering |
| Series title | No Series |
| Edition | 1 |
| Publisher | O'Reilly Media |
| Original languages | English |
| Language | English |
| Is collectible | N |
| Binding type | Perfect Binding |
| Recording time | 0 min |
| Retail packaging | Single Piece |
| Assembled product dimensions (l x w x h) | 6.90 x 1.20 x 9.10 in (17.5 x 3 x 23.1 cm) |
| Assembled product weight | 2 lb (910 grams) |
| Bisac subject heading | Computers |
Who Should Buy?
-
Data Engineers
Ideal for data engineers looking to enhance their skills in big data processing and Apache Spark applications.
-
Data Scientists
Beneficial for data scientists who want to learn efficient techniques for handling and analyzing large datasets.
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Students and Learners
Great for students seeking comprehensive learning materials on big data technologies and Spark fundamentals.
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Complete Beginners
Not suitable for individuals without prior knowledge of programming or data processing concepts.
Product Description
Spark: The Definitive Guide : Big Data Processing Made Simple
About This Item
Introducing "Spark: The Definitive Guide: Big Data Processing Made Simple" Expand your knowledge of big data processing with the comprehensive and authoritative guide, "Spark: The Definitive Guide: Big Data Processing Made Simple". Authored by industry experts Bill Chambers and Matei Zaharia, this book is a must-have for individuals interested in harnessing the power of big data. With its easy-to-follow explanations and practical examples, this guide enables both beginners and experienced professionals to navigate the complexities of big data processing using Apache Spark. Whether you are a data scientist, analyst, or developer, this book will provide you with the knowledge and skills needed to effectively leverage Spark's capabilities. In this book, Chambers and Zaharia delve into the foundational concepts of Spark and walk you through its various components such as Spark SQL, Spark Streaming, and MLlib.
They cover topics like data ingestion, data manipulation, and machine learning, offering insights and best practices along the way. The ISBN for this edition is 9781491912218, and it is available in a convenient paperback format. The publication date is March 13, 2018, ensuring that you are accessing the most up-to-date information. Whether you're looking to enhance your data analytics skills, optimize data processing, or improve the efficiency of your big data projects, "Spark: The Definitive Guide: Big Data Processing Made Simple" is your go-to resource. Order your copy today and unlock the full potential of Apache Spark.
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Bill Chambers All Books Editorial Review
Spark: The Definitive Guide: Big Data Processing Made Simple is an essential non-fiction book catering to professionals in the computing and internet field. This comprehensive guide, published by O'Reilly Media in April 2018, spans 603 pages and focuses on computer engineering. Its perfect binding ensures durability, making it suitable for frequent reference. Readers appreciate the structured approach to big data processing, enhancing their understanding of complex concepts. The book's format is user-friendly, especially for those in professional and vocational settings, ensuring that the information is accessible and engaging for a range of readers.
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Pros
- Comprehensive guide to big data processing
- Suitable for professional and vocational reading
- User-friendly format for better understanding
- Durable perfect binding for frequent use
- Published by a reputable company
Cons
- May be too technical for casual readers
Product Price History
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GBP 49
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Features & Benefits
- Comprehensive guide to using Apache Spark
- Written by the creators of Spark
- Covers Spark 2.0 and its new features
- Explains basic operations and common functions
- Includes information on monitoring, tuning, and debugging Spark
- Explores machine learning techniques using MLlib
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