November 2015
Beginner to intermediate
168 pages
4h 25m
English
Overview
Cassandra Design Patterns is your guide to harnessing the full potential of Apache Cassandra's distributed database capabilities through advanced design practices. Whether you're migrating from an RDBMS or implementing scalable storage for big data, this book provides clear strategies, practical examples, and real-world use cases demonstrating effective design patterns.
What this Book will help me do
- Learn to integrate Cassandra with existing RDBMS solutions, enabling hybrid data architecture.
- Understand and implement key design patterns for distributed, scalable databases.
- Master the transition from RDBMS or cache systems to Cassandra with minimal disruption.
- Dive into time-series and temporal data patterns unique to Cassandra's strengths.
- Apply learned design patterns directly to real-world big data scenarios for analytics.
Author(s)
Rajanarayanan Thottuvaikkatumana, the author of Cassandra Design Patterns, is an expert in distributed systems and holds extensive experience in designing and implementing big data solutions. His hands-on approach to Cassandra is evident throughout the book as he bridges theoretical knowledge with practical applications. Rajanarayanan's approachable writing style aims to make complex concepts accessible.
Who is it for?
This book is ideal for big data developers and system architects who are familiar with the basics of Cassandra and are looking to deepen their understanding of design patterns for robust applications. Readers should have experience with relational databases and desire to migrate or integrate these concepts with NoSQL systems. Whether you're building solutions for data scalability, high availability, or analytics, Cassandra Design Patterns positions itself as an essential resource.
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