Big Data: Principles and best practices of scalable realtime data systems
I will be using this book for:
1 total vote

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

by Nathan Marz, James Warren

Computers Data Processing
1 Star 2 Star 3 Star 4 Star 5 Star
0.0 out of 5 stars (0 ratings)

Big Data: Principles and Best Practices of Scalable Realtime Data Systems explores the principles, practices, and technologies associated with large-scale, real-time data systems. It offers a focused introduction to the challenges of scalability and data processing for technology professionals, students, and anyone seeking a stronger foundation in big data.

About This Book

Big Data: Principles and Best Practices of Scalable Realtime Data Systems introduces key ideas related to building systems that can handle large-scale data.

The book focuses on scalable and real-time data processing, making it relevant to readers studying modern data infrastructure.

It presents principles and best practices for understanding the design and operation of big data systems.

This title is suited to technology professionals, computer science students, and readers seeking a foundation in scalable data systems.

Reviews

No reviews yet. Be the first to review this book!


Write a Review
I will be using this book for:
1 total vote