Real-time analytics with Storm and Cassandra : solve real-time analytics problems effectively using Storm and Cassandra / Shilpi Saxena.

Format:

Book

Author/Creator:

Saxena, Shilpi, author.

Series:

Community experience distilled.

Community Experience Distilled

Language:

English

Subjects (All):

Apache Cassandra.

Storm (Electronic resource).

Databases.

Data mining.

Web usage mining.

Physical Description:

1 online resource (220 p.)

Edition:

1st ed.

Place of Publication:

Birmingham, England ; Mumbai, [India] : Packt Publishing, 2015.

Language Note:

English

Summary:

If you want to efficiently use Storm and Cassandra together and excel at developing production-grade, distributed real-time applications, then this book is for you. No prior knowledge of using Storm and Cassandra together is necessary. However, a background in Java is expected.

Contents:

Cover; Copyright; Credits; About the Author; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Let's Understand Storm; Distributed computing problems; Real-time business solution for credit or debit card fraud detection; Aircraft Communications Addressing and Reporting system; Healthcare; Other applications; Solutions for complex distributed use cases; The Hadoop solution; A custom solution; Licensed proprietary solutions; Other real-time processing tools; High level view of various components of Storm; Delving into the internals of Storm; Quiz time; Summary

Chapter 2: Getting Started with Your First TopologyPrerequisites for setting up Storm; Components of a Storm topology; Spouts; Bolts; Streams; Tuples - the data model in Storm; Executing a sample Storm topology - local mode; WordCount topology from the Storm-starter project; Executing the topology in distributed mode; Set up Zookeeper (v 3.3.5) for Storm; Setting up Storm in distributed mode; Launching Storm daemons; Executing the topology from Command Prompt; Tweaking the WordCount topology to customize it; Quiz time; Summary; Chapter 3: Understanding Storm Internals by Examples

Customizing Storm spoutsCreating FileSpout; Tweaking WordCount topology to use FileSpout; The SocketSpout class; Anchoring and acking; The unreliable topology; Stream groupings; Local or shuffle grouping; Fields grouping; All grouping; Global grouping; Custom grouping; Direct grouping; Quiz time; Summary; Chapter 4: Storm in a Clustered Mode; The Storm cluster setup; Zookeeper configurations; Cleaning up Zookeeper; Storm configurations; Storm logging configurations; The Storm UI; Section 1; Section 2; Section 3; Section 4; The visualization section; Storm monitoring tools; Quiz time; Summary

Chapter 5: Storm High Availability and FailoverAn overview of RabbitMQ; Installing the RabbitMQ cluster; Prerequisites for the setup of RabbitMQ; Setting up a RabbitMQ server; Testing the RabbitMQ server; Creating a RabbitMQ cluster; Enabling RabbitMQ UI; Creating mirror queues for high availability; Integrating Storm with RabbitMQ; Creating a RabbitMQ feeder component; Wiring the topology for the AMQP spout; Building high availability of components; High availability of the Storm cluster; Guaranteed processing of the Storm cluster; The Storm isolation scheduler; Quiz time; Summary

Chapter 6: Adding NoSQL Persistence to StormThe advantages of Cassandra; Columnar database fundamentals; Types of column families; Types of columns; Setting up the Cassandra cluster; Installing Cassandra; Multiple data centers; Prerequisites for setting up multiple data centers; Installing Cassandra data centers; Introduction to CQLSH; Introduction to CLI; Using different client APIs to access Cassandra; Storm topology wired to the Cassandra store; Best practices for Storm/Cassandra applications; Quiz time; Summary; Chapter 7: Cassandra Partitioning, High Availability, and Consistency

Consistent hashing

Notes:

Includes index.

Description based on online resource; title from PDF title page (ebrary, viewed April 23, 2015).

ISBN:

9781784390006

1784390003