Cassandra at Scale: Practical Design, Deployment, and Performance Techniques for Distributed Data Systems

By: Jones, William D.

Cassandra at Scale: Practical Design, Deployment, and Performance Techniques for Distributed Data Systems is a hands-on guide to building resilient, high-throughput data platforms with Apache Cassandra. Beginning with clear explanations of distributed data fundamentals, the book walks readers through the trade-offs of the CAP theorem, Cassandra's tunable consistency model, and the real-world workloads where Cassandra excels, while showing how it integrates with analytics ecosystems such as Hadoop and Spark.

The book unpacks Cassandra's peer-to-peer architecture-ring topology, partitioning strategies, and replication mechanics-to show how to design fault-tolerant, highly available systems. It offers practical data modeling advice using CQL, highlights common anti-patterns to avoid, and demonstrates advanced schema techniques including collections, user-defined types, and efficient patterns for time-series data.

Focusing on operational excellence, Cassandra at Scale covers cluster deployment, configuration, security, disaster recovery, and performance tuning, with actionable guidance on automation, monitoring, and compliance. It also explores modern deployment patterns-microservices, streaming pipelines, hybrid-cloud and serverless architectures-alongside emerging community innovations and real-world case studies to help engineers and architects apply best practices at production scale.

• Format: Paperback
• Language: English
• ISBN13: 9798243462525
• Release Date: January 1
• Publisher: Independently Published
• Length: 246 Pages
• Weight: 0.74 lbs.
• Dimensions: 0.5" x 6.0" x 9.0"