Cassandra Design Patterns, 2/e（Paperback）

Build real-world, industry-strength data storage solutions with time-tested design methodologies using Cassandra

About This Book

• Explore design patterns which co-exist with legacy data stores, migration from RDBMS, and caching technologies with Cassandra
• Learn about design patterns and use Cassandra to provide consistency, availability, and partition tolerance guarantees for applications
• Handle temporal data for analytical purposes

Who This Book Is For

This book is intended for big data developers who are familiar with the basics of Cassandra and wish to understand and utilize Cassandra design patterns to develop real-world big data solutions. Prior knowledge of RDBMS solutions is assumed.

What You Will Learn

• Enable Cassandra to co-exist with RDBMS and other legacy data stores
• Explore various design patterns to build effective and robust storage solutions
• Migrate from RDBMS-based data stores and caching solutions to Cassandra
• Understand the behaviour of Cassandra when trying to balance the needs of consistency, availability, and partition tolerance
• Deal with time stamps related to data effectively
• See how Cassandra can be used in analytical use cases
• Apply the design patterns covered in this book in real-world use cases

In Detail

There are many NoSQL data stores used by big data applications. Cassandra is one of the most widely used NoSQL data stores that is frequently used by a huge number of heavy duty Internet-scale applications. Unlike the RDBMS world, the NoSQL landscape is very diverse and there is no one way to model data stores. This mandates the need to have good solutions to commonly seen data store design problems. Cassandra addresses such common problems simply.

If you are new to Cassandra but well-versed in RDBMS modeling and design, then it is natural to model data in the same way in Cassandra, resulting in poorly performing applications and losing the real purpose of Cassandra. If you want to learn to make the most of Cassandra, this book is for you.

This book starts with strategies to integrate Cassandra with other legacy data stores and progresses to the ways in which a migration from RDBMS to Cassandra can be accomplished. The journey continues with ideas to migrate data from cache solutions to Cassandra. With this, the stage is set and the book moves on to some of the most commonly seen problems in applications when dealing with consistency, availability, and partition tolerance guarantees.

Cassandra is exceptionally good at dealing with temporal data and patterns such as the time-series pattern and log pattern, which are covered next. Many NoSQL data stores fail miserably when a huge amount of data is read for analytical purposes, but Cassandra is different in this regard. Keeping analytical needs in mind, you'll walk through different and interesting design patterns.

No theoretical discussions are complete without a good set of use cases to which the knowledge gained can be applied, so the book concludes with a set of use cases you can apply the patterns you've learned.

Style and approach

This book is written in very simple language and an engaging style complete with examples in every chapter and real-world use cases at the end of the book.

使用Cassandra建立真實世界、業界強度的數據存儲解決方案，並使用經過時間考驗的設計方法。

關於本書：
- 探索與傳統數據存儲共存的設計模式，從RDBMS遷移，以及使用Cassandra的緩存技術
- 學習設計模式，並使用Cassandra為應用程序提供一致性、可用性和分區容錯保證
- 處理用於分析目的的時間數據

本書適合對Cassandra基礎知識有所了解並希望理解和應用Cassandra設計模式開發真實世界大數據解決方案的大數據開發人員。需要具備RDBMS解決方案的基礎知識。

你將學到什麼：
- 使Cassandra與RDBMS和其他傳統數據存儲共存
- 探索各種設計模式，構建有效和強大的存儲解決方案
- 從基於RDBMS的數據存儲和緩存解決方案遷移到Cassandra
- 理解在平衡一致性、可用性和分區容錯需求時Cassandra的行為
- 有效處理與數據相關的時間戳
- 看到Cassandra在分析用例中的應用
- 在真實世界的用例中應用本書介紹的設計模式

詳細內容：
大數據應用中使用許多NoSQL數據存儲。Cassandra是最廣泛使用的NoSQL數據存儲之一，被許多重型互聯網規模應用頻繁使用。與RDBMS世界不同，NoSQL領域非常多樣化，沒有一種方法可以建模數據存儲。這就需要對常見的數據存儲設計問題有良好的解決方案。Cassandra能夠簡單地解決這些常見問題。

如果你對Cassandra還不熟悉，但對RDBMS建模和設計很熟悉，那麼在Cassandra中以相同的方式建模數據是很自然的，這導致應用程序性能不佳，失去了Cassandra的真正目的。如果你想學習如何充分利用Cassandra，這本書適合你。

本書從將Cassandra與其他傳統數據存儲集成的策略開始，然後介紹了從RDBMS遷移到Cassandra的方法。接下來，介紹了從緩存解決方案遷移到Cassandra的想法。有了這些基礎，本書繼續介紹了在應用程序中處理一致性、可用性和分區容錯保證時常見的問題。

Cassandra在處理時間數據和模式（如時間序列模式和日誌模式）方面表現出色，接下來將介紹這些內容。許多NoSQL數據存儲在讀取大量數據進行分析時表現不佳，但Cassandra在這方面不同。在考慮到分析需求的情況下，你將學習不同且有趣的設計模式。

理論討論不完整，如果沒有一組可以應用所學知識的用例，因此本書以一組用例作為結尾，你可以應用所學的模式。

風格和方法：
本書以非常簡單的語言和引人入勝的風格撰寫，每章都有例子，書末還有真實世界的用例。