Cassandra Data Modeling and Analysis

Design, build, and analyze your data intricately using Cassandra

About This Book

• Build professional data models in Cassandra using CQL and appropriate indexes
• Grasp the Model-By-Query techniques through working examples
• Step-by-step tutorial of a stock market technical analysis application

Who This Book Is For

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.

In Detail

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.

Table of Contents

Chapter 1: Bird’s Eye View of Cassandra
Chapter 2: Cassandra Data Modeling
Chapter 3: CQL Data Types
Chapter 4: Indexes
Chapter 5: First-cut Design and Implementation
Chapter 6: Enhancing a Version
Chapter 7: Deployment and Monitoring
Chapter 8: Final Thoughts