Cassandra Data Modeling and Analysis

by C.Y. Kan

Design, build, and analyze your data intricately using Cassandra If you are interested in Cassandra and want to develop real-world analysis applications, then this book is perfect for you. It would be helpful to have prior knowledge of NoSQL database.







Starting with a quick introduction to Cassandra, this book flows through various aspects such as fundamental data modeling approaches, selection of data types, designing a data model, choosing suitable keys and indexes through to a real-world application, all the while applying the best practices covered in this book. Although the application is small, you will be involved in the full development life cycle. You will go through the design considerations of coming up with a flexible and sustainable data model for a stock market technical-analysis application written in Python. As business changes continually and so does a data model, you will also learn the techniques of evolving a data model to address new business requirements. Running a web-scale Cassandra cluster requires many careful considerations such as evolving a data model, performance tuning, and system monitoring. This book is an invaluable tutorial for anyone who wants to adopt Cassandra.

196 pages, Kindle Edition

First published December 23, 2014

Reviews

[Eugene Ismailov · Rating 4 out of 5]

Pretty good introduction to cassandra data modelling. No advanced concepts are covered, but just fine as a starting point.

[Łukasz Słonina · Rating 2 out of 5]

Very short book. Too little design and modeling. Only one example application, much more Python than Cassandra. Only general overview of most topics. I would expect few more examples/use cases for Cassandra and how to model data.

[Alex Ott · Rating 4 out of 5]

Really 7/10...

Quite good overview of the Cassandra & how to model data for store in it.