--- product_id: 14456682 title: "Big Data: Principles and best practices of scalable realtime data systems" price: "AED 163" currency: AED in_stock: true reviews_count: 13 url: https://www.desertcart.ae/products/14456682-big-data-principles-and-best-practices-of-scalable-realtime-data store_origin: AE region: United Arab Emirates --- # Big Data: Principles and best practices of scalable realtime data systems **Price:** AED 163 **Availability:** ✅ In Stock ## Quick Answers - **What is this?** Big Data: Principles and best practices of scalable realtime data systems - **How much does it cost?** AED 163 with free shipping - **Is it available?** Yes, in stock and ready to ship - **Where can I buy it?** [www.desertcart.ae](https://www.desertcart.ae/products/14456682-big-data-principles-and-best-practices-of-scalable-realtime-data) ## Best For - Customers looking for quality international products ## Why This Product - Free international shipping included - Worldwide delivery with tracking - 15-day hassle-free returns ## Description Summary Big Data teaches you to build big data systems using an architecture that takes advantage of clustered hardware along with new tools designed specifically to capture and analyze web-scale data. It describes a scalable, easy-to-understand approach to big data systems that can be built and run by a small team. Following a realistic example, this book guides readers through the theory of big data systems, how to implement them in practice, and how to deploy and operate them once they're built. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Book Web-scale applications like social networks, real-time analytics, or e-commerce sites deal with a lot of data, whose volume and velocity exceed the limits of traditional database systems. These applications require architectures built around clusters of machines to store and process data of any size, or speed. Fortunately, scale and simplicity are not mutually exclusive. Big Data teaches you to build big data systems using an architecture designed specifically to capture and analyze web-scale data. This book presents the Lambda Architecture, a scalable, easy-to-understand approach that can be built and run by a small team. You'll explore the theory of big data systems and how to implement them in practice. In addition to discovering a general framework for processing big data, you'll learn specific technologies like Hadoop, Storm, and NoSQL databases. This book requires no previous exposure to large-scale data analysis or NoSQL tools. Familiarity with traditional databases is helpful. What's Inside Introduction to big data systems Real-time processing of web-scale data Tools like Hadoop, Cassandra, and Storm Extensions to traditional database skills About the Authors Nathan Marz is the creator of Apache Storm and the originator of the Lambda Architecture for big data systems. James Warren is an analytics architect with a background in machine learning and scientific computing. Table of Contents A new paradigm for Big Data PART 1 BATCH LAYER Data model for Big Data Data model for Big Data: Illustration Data storage on the batch layer Data storage on the batch layer: Illustration Batch layer Batch layer: Illustration An example batch layer: Architecture and algorithms An example batch layer: Implementation PART 2 SERVING LAYER Serving layer Serving layer: Illustration PART 3 SPEED LAYER Realtime views Realtime views: Illustration Queuing and stream processing Queuing and stream processing: Illustration Micro-batch stream processing Micro-batch stream processing: Illustration Lambda Architecture in depth Review: I bought this book because some one online recommended it. I went non-stop for a few chapters ... - I don't have much background in large scale system and big data. I bought this book because some one online recommended it. I went non-stop for a few chapters and will definitely continue reading until I am done. Given limited background, I don't have problems grasping the concepts in the book at all. It's a very good book with theory clearly conveyed and examples beautifully demonstrated. I really hope all books in the distributed system area can do such a good job to make learning experience a lot smoother. Review: Lambda Architecture FTW - Great explanation of both the theory and practice of the lambda architecture. While the practice chapters are nice, it's the theory chapters that really shine. The book explains down to the byte level why components are implemented the way they are. For example, there's an immense amount of detail as to why using a db that doesn't support random writes allows for an application to query the batch layer's results without locking. The only downside to the book is that the architecture and exosystem is so new that there's not really a lot of pragmatic solutions. For example, the theory describes a query layer that can merge the results of batch and real time processing for client applications. However, in real life there are no pragmatic solutions for doing this so you'd have to write your own. It'll be interesting to see how the lambda architecture matures and to see future editions of this book. Hopefully, future editions will be as well written and have a better ecosystem for practice chapters. ## Technical Specifications | Specification | Value | |---------------|-------| | Best Sellers Rank | #1,727,176 in Books ( See Top 100 in Books ) #487 in Data Mining (Books) #1,916 in Software Development (Books) #2,234 in Internet & Telecommunications | | Customer Reviews | 4.2 out of 5 stars 103 Reviews | ## Images ![Big Data: Principles and best practices of scalable realtime data systems - Image 1](https://m.media-amazon.com/images/I/71u4rrkLe6L.jpg) ## Customer Reviews ### ⭐⭐⭐⭐⭐ I bought this book because some one online recommended it. I went non-stop for a few chapters ... *by H***U on October 19, 2015* I don't have much background in large scale system and big data. I bought this book because some one online recommended it. I went non-stop for a few chapters and will definitely continue reading until I am done. Given limited background, I don't have problems grasping the concepts in the book at all. It's a very good book with theory clearly conveyed and examples beautifully demonstrated. I really hope all books in the distributed system area can do such a good job to make learning experience a lot smoother. ### ⭐⭐⭐⭐ Lambda Architecture FTW *by Z***I on June 14, 2015* Great explanation of both the theory and practice of the lambda architecture. While the practice chapters are nice, it's the theory chapters that really shine. The book explains down to the byte level why components are implemented the way they are. For example, there's an immense amount of detail as to why using a db that doesn't support random writes allows for an application to query the batch layer's results without locking. The only downside to the book is that the architecture and exosystem is so new that there's not really a lot of pragmatic solutions. For example, the theory describes a query layer that can merge the results of batch and real time processing for client applications. However, in real life there are no pragmatic solutions for doing this so you'd have to write your own. It'll be interesting to see how the lambda architecture matures and to see future editions of this book. Hopefully, future editions will be as well written and have a better ecosystem for practice chapters. ### ⭐⭐⭐⭐⭐ The perfect book to understand big data concepts *by A***R on November 4, 2015* In all honesty, the book has simplified big data architecture and its general premise in an eye opening way. Starting from the batch layer and spending a good amount of time addressing different aspects of it gave me a valuable lesson as a developer in understanding the complexity as well as the necessity of evaluating my data entries and their impact in the future formation of worthy analytics/results. My girlfriend and I enjoyed every chapter in this book. I guarantee you that you won't regret buying this book. I am looking forward to another book from you guys on the topic because its the first time where I couldn't wait to pick up the book and get to the end of it. ## Frequently Bought Together - Big Data: Principles and best practices of scalable realtime data systems - Hadoop: The Definitive Guide: Storage and Analysis at Internet Scale - Learning Spark: Lightning-Fast Data Analytics --- ## 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.ae/products/14456682-big-data-principles-and-best-practices-of-scalable-realtime-data](https://www.desertcart.ae/products/14456682-big-data-principles-and-best-practices-of-scalable-realtime-data) --- *Product available on Desertcart United Arab Emirates* *Store origin: AE* *Last updated: 2026-06-08*