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Mastering NoSQL Database Design: A Comprehensive Guide to Building Scalable, High-Performance, and Flexible Data Systems.

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Description

Visual overview of the book: https://www.youtube.com/watch?v=BNitnldtDIE&feature=youtu.be Podcast: https://www.dropbox.com/scl/fi/or5m43rhij1mml6g5e8lw/NoSQL.wav?rlkey=a823crpbo2h9vj2dnybzcpstq&e=1&dl=0 A Comprehensive Guide to Building Scalable, High Performance, and Flexible Data Systems NoSQL databases are becoming increasingly popular due to the need for scalability, flexibility, and high performance in modern data systems. This book provides a comprehensive overview of NoSQL databases, their design, and implementation. It covers the most popular NoSQL databases, including MongoDB, Cassandra, Hadoop HBase, Couchbase, and RethinkDB. The book begins with an introduction to NoSQL databases, their types, and the need for them in today's data-driven world. It then delves into the logical and physical design considerations of NoSQL databases, as well as distributed systems design considerations. The book also discusses various use cases for NoSQL databases, such as web applications, mobile applications, social networking, real-time analytics, and IoT. The author explores the design considerations for NoSQL databases, including scalability, flexibility, consistency, availability, and partition tolerance. Additionally, the book provides best practices for designing and building scalable, high-performance, and flexible data systems using NoSQL databases. Whether you are new to NoSQL databases or an experienced professional, this book will equip you with the knowledge and skills needed to design and build scalable, high-performance, and flexible data systems using NoSQL databases. https://www.Michael-E-Kirshteyn.com/

Product Specifications

Format: paperback
ASIN: B0D17HFDDQ
Category: Books > Subjects > Computing & Internet > Databases > Data Storage & Management > Data Mining
Domain: Amazon UK
Release Date: 08 April 2024
Listed Since: 09 April 2024

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Mastering NoSQL Database Design: A Comprehensive Guide to Building Scalable, High-Performance, and Flexible Data Systems.

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