--- product_id: 65857188 title: "Spark: The Definitive Guide: Big Data Processing Made Simple" price: "£48.89" currency: GBP in_stock: true reviews_count: 13 url: https://www.desertcart.co.uk/products/65857188-spark-the-definitive-guide-big-data-processing-made-simple store_origin: GB region: United Kingdom --- # Master Spark 2.0 features Deep dive into Structured APIs Hands-on MLlib machine learning Spark: The Definitive Guide: Big Data Processing Made Simple **Price:** £48.89 **Availability:** ✅ In Stock ## Summary > ⚡ Spark your Big Data mastery — don’t get left behind! ## Quick Answers - **What is this?** Spark: The Definitive Guide: Big Data Processing Made Simple - **How much does it cost?** £48.89 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.co.uk](https://www.desertcart.co.uk/products/65857188-spark-the-definitive-guide-big-data-processing-made-simple) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Key Features - • **Unlock Spark 2.0 Power:** Stay ahead with the latest Spark improvements and features. - • **Streamline Real-Time Data:** Harness Structured Streaming for cutting-edge end-to-end stream processing. - • **Structured APIs Demystified:** Master DataFrames, SQL, and Datasets through clear, practical examples. - • **Optimize & Monitor Like a Pro:** Learn expert techniques to debug, tune, and monitor Spark clusters efficiently. - • **Scale Machine Learning Effortlessly:** Apply MLlib’s scalable algorithms to real-world classification and recommendation tasks. ## Overview This definitive guide, authored by Apache Spark creators, offers a comprehensive, tutorial-driven approach to mastering Spark 2.0. Covering everything from core APIs and real-time streaming to cluster management and scalable machine learning with MLlib, it equips developers and system admins with the skills to deploy, monitor, and optimize Spark applications confidently in production environments. ## Description Learn how to use, deploy, and maintain Apache Spark with this comprehensive guide, written by the creators of the open-source cluster-computing 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. Youâ??ll explore the basic operations and common functions of Sparkâ??s structured APIs, as well as Structured Streaming, a new high-level API for building end-to-end streaming applications. Developers and system administrators will learn the fundamentals of monitoring, tuning, and debugging Spark, and explore machine learning techniques and scenarios for employing MLlib, Sparkâ??s scalable machine-learning library. Get a gentle overview of big data and Spark Learn about DataFrames, SQL, and Datasetsâ??Sparkâ??s core APIsâ??through worked examples Dive into Sparkâ??s low-level APIs, RDDs, and execution of SQL and DataFrames Understand how Spark runs on a cluster Debug, monitor, and tune Spark clusters and applications Learn the power of Structured Streaming, Sparkâ??s stream-processing engine Learn how you can apply MLlib to a variety of problems, including classification or recommendation 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! ## Features - New Store Stock ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #289,491 in Books ( See Top 100 in Books ) #18 in Computer Programming Structured Design #30 in Java Programming #85 in Data Modeling & Design (Books) | | Customer Reviews | 4.5 out of 5 stars 457 Reviews | ## 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 --- ## Why Shop on Desertcart? - 🛒 **Trusted by 1.3+ Million Shoppers** — Serving international shoppers since 2016 - 🌍 **Shop Globally** — Access 737+ million products across 21 categories - 💰 **No Hidden Fees** — All customs, duties, and taxes included in the price - 🔄 **15-Day Free Returns** — Hassle-free returns (30 days for PRO members) - 🔒 **Secure Payments** — Trusted payment options with buyer protection - ⭐ **TrustPilot Rated 4.5/5** — Based on 8,000+ happy customer reviews **Shop now:** [https://www.desertcart.co.uk/products/65857188-spark-the-definitive-guide-big-data-processing-made-simple](https://www.desertcart.co.uk/products/65857188-spark-the-definitive-guide-big-data-processing-made-simple) --- *Product available on Desertcart United Kingdom* *Store origin: GB* *Last updated: 2026-07-06*