---
product_id: 14456682
title: "Big Data: Principles and best practices of scalable realtime data systems"
price: "231 zł"
currency: PLN
in_stock: true
reviews_count: 8
url: https://www.desertcart.pl/products/14456682-big-data-principles-and-best-practices-of-scalable-realtime-data
store_origin: PL
region: Poland
---

# Big Data: Principles and best practices of scalable realtime data systems

**Price:** 231 zł
**Availability:** ✅ In Stock

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- **What is this?** Big Data: Principles and best practices of scalable realtime data systems
- **How much does it cost?** 231 zł with free shipping
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## Description

Big Data: Principles and best practices of scalable realtime data systems [Nathan Marz, James Warren] on desertcart.com. *FREE* shipping on qualifying offers. Big Data: Principles and best practices of scalable realtime data systems

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 | #1,171,820 in Books ( See Top 100 in Books ) #92 in Data Mining (Books) #363 in Software Development (Books) #482 in Internet & Telecommunications |
| Customer Reviews | 4.2 out of 5 stars 103 Reviews |

## Images

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## 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

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*Product available on Desertcart Poland*
*Store origin: PL*
*Last updated: 2026-04-27*