Cassandra Data Modeling and Analysis

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 … Continue reading “Cassandra Data Modeling and Analysis”

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.

[post-views]

2 thoughts on “Cassandra Data Modeling and Analysis”

  1. I’ve found your article extremely helpful and fascinating. I personally thank you for opinions and I accept numerous. You have done a good work with making this clear enough for anybody to be aware of.

Leave a Reply

Your email address will not be published. Required fields are marked *