- Apache Software Foundation (2016). Documentation – Adding, replacing, moving, and removing nodes. Retrieved on April 18, 2018 from http://cassandra.apache.org/doc/latest/operating/topo_changes.html.
- Brewer E., Fox A. (1999). Harvest, Yield, and Scalable Tolerant Systems. University of California at Berkeley, Berkeley, CA. Retrieved on April 4, 2018 from http://lab.mscs.mu.edu/Dist2012/lectures/HarvestYield.pdf.
- DataStax (2018). Apache Cassandra 3.0 for DSE 5.0: Understanding the Architecture. Retrieved on April 4, 2018 from https://docs.datastax.com/en/cassandra/3.0/cassandra/architecture/archTOC.html.
- Kozliner E. (2017). Merkle Tree Introduction. Retrieved on June 3, 2018 from https://medium.com/@evankozliner/merkle-tree-introduction-4c44250e2da7.
- Ploetz A., Kandhare D., Kadamni S., Wu X. (2018). Seven NoSQL Databases in a Week...
Mastering Apache Cassandra 3.x - Third Edition
By :
Mastering Apache Cassandra 3.x - Third Edition
By:
Overview of this book
With ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features.
Once you’ve covered a brief recap of the basics, you’ll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You’ll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You’ll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark.
By the end of this book, you’ll be able to analyse big data, and build and manage high-performance databases for your application.
Table of Contents (12 chapters)
Preface
Free Chapter
Quick Start
Cassandra Architecture
Effective CQL
Configuring a Cluster
Performance Tuning
Managing a Cluster
Monitoring
Application Development
Integration with Apache Spark
References
Other Books You May Enjoy
Customer Reviews