---
product_id: 65857188
title: "Spark: The Definitive Guide: Big Data Processing Made Simple"
price: "₹ 10908"
currency: INR
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reviews_count: 13
url: https://www.desertcart.in/products/65857188-spark-the-definitive-guide-big-data-processing-made-simple
store_origin: IN
region: India
---

# Spark: The Definitive Guide: Big Data Processing Made Simple

**Price:** ₹ 10908
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- **What is this?** Spark: The Definitive Guide: Big Data Processing Made Simple
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## Description

Spark: The Definitive Guide: Big Data Processing Made Simple [Chambers, Bill, Zaharia, Matei] on desertcart.com. *FREE* shipping on qualifying offers. Spark: The Definitive Guide: Big Data Processing Made Simple

Review: Good single source for learning and using Spark in production - This book presents the main Spark concepts, particularly the v2.x Structured API in tutorial fashion using Scala and Python. Much of this information is available piecemeal online, but I found it valuable to have it ordered and explained thoroughly rather than digging through stackoverflow or trying to make sense of the docs. After presenting how Spark works and the Structured and low level RDD APIs, the book helps you deploy, monitor, and tune your application to run on a cluster. There is a detailed section on Structured Streaming explaining windowing and event time processing, plus a section on advanced machine learning analytics.
Review: Very useful book for exploiting the powerful Spark platform - Apache Spark is a powerful platform for Big Data applications that explores a lot of advanced techniques. The book describes clearly and systematically the Spark architecture and has a lot of outstanding examples that help the reader to become familiar with the rather brilliant Spark programming models. The presentation of the material is excellent and the explanations are quite supportive and help the understanding. It is a very nice book on the very admirable Spark system!

## Technical Specifications

| Specification | Value |
|---------------|-------|
| Best Sellers Rank | #246,114 in Books ( See Top 100 in Books ) #53 in Data Mining (Books) #63 in Data Modeling & Design (Books) #82 in Data Processing |
| Customer Reviews | 4.5 4.5 out of 5 stars (452) |
| Dimensions  | 7 x 1.25 x 9 inches |
| Edition  | 1st |
| ISBN-10  | 1491912219 |
| ISBN-13  | 978-1491912218 |
| Item Weight  | 7.4 ounces |
| Language  | English |
| Print length  | 603 pages |
| Publication date  | April 3, 2018 |
| Publisher  | O'Reilly Media |

## Images

![Spark: The Definitive Guide: Big Data Processing Made Simple - Image 1](https://m.media-amazon.com/images/I/91LxYzqUn0L.jpg)

## Customer Reviews

### ⭐⭐⭐⭐⭐ Good single source for learning and using Spark in production
*by R***Z on May 6, 2018*

This book presents the main Spark concepts, particularly the v2.x Structured API in tutorial fashion using Scala and Python. Much of this information is available piecemeal online, but I found it valuable to have it ordered and explained thoroughly rather than digging through stackoverflow or trying to make sense of the docs. After presenting how Spark works and the Structured and low level RDD APIs, the book helps you deploy, monitor, and tune your application to run on a cluster. There is a detailed section on Structured Streaming explaining windowing and event time processing, plus a section on advanced machine learning analytics.

### ⭐⭐⭐⭐⭐ Very useful book for exploiting the powerful Spark platform
*by S***U on August 28, 2018*

Apache Spark is a powerful platform for Big Data applications that explores a lot of advanced techniques. The book describes clearly and systematically the Spark architecture and has a lot of outstanding examples that help the reader to become familiar with the rather brilliant Spark programming models. The presentation of the material is excellent and the explanations are quite supportive and help the understanding. It is a very nice book on the very admirable Spark system!

### ⭐⭐⭐⭐ Good intro text - *not* a recipes book
*by J***N on March 23, 2019*

+s: + Great intro text. + Very detailed with lots of code samples. + ML section is thorough (if limited in depth) + all code is on GitHub :) + conceptual + tuning and optimizations sections -s: - Organization is a little choppy - to understand Structured Streamimg aggregations requires jumping back and forth to aggregations section (for example) - Copy-pasting code samples is annoying. - Kindle for Mac is sucky: resizing windows and adjusting text size breaks the flow, sometimes requiring a restart. Indexing is weird and it ”depaginates” - Could use a few sections in wide vs narrow...

## Frequently Bought Together

- Spark: The Definitive Guide: Big Data Processing Made Simple
- Learning Spark: Lightning-Fast Data Analytics
- Designing Data-Intensive Applications: The Big Ideas Behind Reliable, Scalable, and Maintainable Systems

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*Last updated: 2026-05-12*