Cassandra Data Modeling and Analysis (Paperback)

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.

設計、構建和分析您的數據，使用Cassandra

關於本書

- 使用CQL和適當的索引在Cassandra中構建專業數據模型
- 通過實際示例掌握Model-By-Query技術
- 逐步教學股市技術分析應用程式

本書適合對Cassandra感興趣並希望開發實際分析應用程式的讀者。最好具備NoSQL數據庫的基礎知識。

詳細內容

本書從快速介紹Cassandra開始，通過各個方面進行流程，如基本數據建模方法、數據類型的選擇、設計數據模型、選擇適當的鍵和索引，一直到實際應用程式，同時應用本書中介紹的最佳實踐。

儘管應用程式很小，但您將參與完整的開發生命周期。您將通過設計考慮來為使用Python編寫的股市技術分析應用程式創建靈活且可持續的數據模型。由於業務不斷變化，數據模型也會變化，您還將學習演進數據模型以滿足新業務需求的技術。運行Web規模的Cassandra集群需要許多謹慎考慮的因素，例如演進數據模型、性能調優和系統監控。本書對於任何想採用Cassandra的人來說都是一個寶貴的教程。