利用Storm与Cassandra进行实时数据分析：实战指南

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"《实时分析与Storm和Cassandra》（PACKT，2015年）是一本专注于实现实时数据处理的教程，旨在帮助读者通过Storm技术构建高度可用的应用程序，确保零停机时间，并利用Cassandra作为持久化存储。本书首先介绍了Storm的基本概念及其组件，以及在本地和分布式模式下设置执行环境的步骤。作者会引导读者探索Storm和Zookeeper的配置，理解Storm用户界面，搭建Storm集群，并使用各种工具监控集群。接下来，书中的内容将转向如何将NoSQL持久性集成到Storm中，具体包括设置Cassandra集群。在整个过程中，遵循最佳实践对于Storm和Cassandra应用程序至关重要。书中通过实例深入讲解了Cassandra中的数据分区、一致性哈希以及高可用性和复制功能。最后，读者将学习如何管理和维护Cassandra和Storm系统，掌握不同的管理策略。通过本书，读者可以有效地解决实时数据分析问题，提升应用程序性能。作者Shilpi Saxena以其丰富的经验和深入浅出的方式，确保读者能够在实际项目中运用所学知识。此外，书中的版权信息强调所有内容未经Packt Publishing许可不得复制或传播，且出版商对由于信息的准确性和使用可能带来的潜在损失不负责任。为了尊重知识产权，Packt Publishing在提及公司和产品商标时采用了正确的大小写格式。《实时分析与Storm和Cassandra》是一本实用的IT资源，为那些希望在实时数据处理领域提升技能并实现高效应用的企业和个人提供了宝贵的学习资料。"

[ vii ]

Preface

Storm, initially a project from the house of Twitter, has graduated to the league of

Apache and thus rechristened from Twitter Storm. It is the brainchild of Nathan

Marz that's now adopted by leagues of Cloudera's Distribution Including Apache

Hadoop (CDH) and the Hortonworks Data Platform (HDP), and so on.

Apache Storm is a highly scalable, distributed, fast, and reliable real-time computing

system designed to process very high velocity data. Cassandra complements the

computing capability by providing lightning-fast read and writes, and this is the

best combination currently available for data storage with Storm.

The combination of the Storm computing and Cassandra storage is helping

technology evangelists to solve various business problems involving complex

and high data volume situations such as real-time customer service, dashboards,

security, sensor data analysis, data monetization, and so on.

This book will equip users with the capability to harness the processing power

of Storm in combination with the speed and reliability of Cassandra to develop

production-grade enterprise solutions on real-time use cases.

What this book covers

Chapter 1, Let's Understand Storm, gets you acquainted with the problems that need

distributed computing solutions. It will take you through the journey of Storm and

its advent.

Chapter 2, Getting Started with Your First Topology, teaches you to set up the developer's

environment—sandbox and execute some of the code samples.

Chapter 3, Understanding Storm Internals by Examples, teaches you how to prepare

Storm spouts and custom spouts. You will understand various kinds of groupings

provided by Storm and their application to practical problems.

www.it-ebooks.info

Preface

[ viii ]

Chapter 4, Storm in a Clustered Mode, teaches you how to set up a multi-node Storm

cluster to get the user acquainted with the distributed Storm setup and its components.

This chapter will also get your acquainted with the Storm UI and various monitoring

tools for Storm.

Chapter 5, Storm High Availability and Failover, conjugates the Storm topology with the

RabbitMQ broker service and explores the high availability and failover scenarios of

Storm with the help of various practical examples.

Chapter 6, Adding NoSQL Persistence to Storm, introduces you to Cassandra and

explores various wrapper API's available to work with Cassandra. We will use

the Hector API to connect Storm and Cassandra.

Chapter 7, Cassandra Partitioning, High Availability, and Consistency, walks you

through the Cassandra internals. You will understand and apply the concepts of

high availability, hinted handoff, and eventual consistency in context to Cassandra.

Chapter 8, Cassandra Management and Maintenance, gets you acquainted with the

management aspects of Cassandra, such as scaling the cluster, node replacement,

and so on, thus equipping you with all the experience required to handle real-life

situations with Cassandra.

Chapter 9, Storm Management and Maintenance, gets you acquainted with the

management aspects of Storm, such as scaling the cluster, setting up parallelism,

and troubleshooting Storm.

Chapter 10, Advance Concepts in Storm, gives you an understanding of the Trident

API. You will be building the Trident API with certain examples and illustrations

around Trident.

Chapter 11, Distributed Cache and CEP with Storm, gets you acquainted with distributed

cache, its need, and applicability to solve real-life use cases with Storm. It will also

educate you about Esper as a CEP in combination with Storm.

Appendix, Quiz Answers, contains all the answers to the questions of the true or false

statements and the ll in the blanks section.

Bonus Chapter, Using Storm and Cassandra for Real Life Use Cases, explains a few

real-life use cases and blueprints to solve these cases using the technologies such as

Storm and Cassandra. This chapter can be found online at https://www.packtpub.

com/sites/default/files/downloads/Bonus_Chapter.pdf.

www.it-ebooks.info

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