
Mastering Apache Cassandra 3.x
An expert guide to improving database scalability and availability without compromising performance
Packt Publishing
3rd Edition
Published on 31. October 2018
Book
Paperback/Softback
348 pages
978-1-78913-149-9 (ISBN)
Description
Build, manage, and configure high-performing, reliable NoSQL database for your applications with Cassandra
Key Features
Write programs more efficiently using Cassandra's features with the help of examples
Configure Cassandra and fine-tune its parameters depending on your needs
Integrate Cassandra database with Apache Spark and build strong data analytics pipeline
Book DescriptionWith ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features.
Once you've covered a brief recap of the basics, you'll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You'll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You'll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark.
By the end of this book, you'll be able to analyse big data, and build and manage high-performance databases for your application.
What you will learn
Write programs more efficiently using Cassandra s features more efficiently
Exploit the given infrastructure, improve performance, and tweak the Java Virtual Machine (JVM)
Use CQL3 in your application in order to simplify working with Cassandra
Configure Cassandra and fine-tune its parameters depending on your needs
Set up a cluster and learn how to scale it
Monitor a Cassandra cluster in different ways
Use Apache Spark and other big data processing tools
Who this book is forMastering Apache Cassandra 3.x is for you if you are a big data administrator, database administrator, architect, or developer who wants to build a high-performing, scalable, and fault-tolerant database. Prior knowledge of core concepts of databases is required.
Key Features
Write programs more efficiently using Cassandra's features with the help of examples
Configure Cassandra and fine-tune its parameters depending on your needs
Integrate Cassandra database with Apache Spark and build strong data analytics pipeline
Book DescriptionWith ever-increasing rates of data creation, the demand for storing data fast and reliably becomes a need. Apache Cassandra is the perfect choice for building fault-tolerant and scalable databases. Mastering Apache Cassandra 3.x teaches you how to build and architect your clusters, configure and work with your nodes, and program in a high-throughput environment, helping you understand the power of Cassandra as per the new features.
Once you've covered a brief recap of the basics, you'll move on to deploying and monitoring a production setup and optimizing and integrating it with other software. You'll work with the advanced features of CQL and the new storage engine in order to understand how they function on the server-side. You'll explore the integration and interaction of Cassandra components, followed by discovering features such as token allocation algorithm, CQL3, vnodes, lightweight transactions, and data modelling in detail. Last but not least you will get to grips with Apache Spark.
By the end of this book, you'll be able to analyse big data, and build and manage high-performance databases for your application.
What you will learn
Write programs more efficiently using Cassandra s features more efficiently
Exploit the given infrastructure, improve performance, and tweak the Java Virtual Machine (JVM)
Use CQL3 in your application in order to simplify working with Cassandra
Configure Cassandra and fine-tune its parameters depending on your needs
Set up a cluster and learn how to scale it
Monitor a Cassandra cluster in different ways
Use Apache Spark and other big data processing tools
Who this book is forMastering Apache Cassandra 3.x is for you if you are a big data administrator, database administrator, architect, or developer who wants to build a high-performing, scalable, and fault-tolerant database. Prior knowledge of core concepts of databases is required.
More details
Edition
3rd Revised edition
Language
English
Place of publication
Birmingham
United Kingdom
Target group
Professional and scholarly
US School Grade: College Graduate Student
Edition type
Revised edition
Dimensions
Height: 235 mm
Width: 191 mm
Thickness: 19 mm
Weight
651 gr
ISBN-13
978-1-78913-149-9 (9781789131499)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Classification
Other editions
Additional editions

Aaron Ploetz | Tejaswi Malepati
Mastering Apache Cassandra 3.x
An expert guide to improving database scalability and availability without compromising performance
E-Book
09/2024
3rd Edition
Packt Publishing
€36.99
Available for download
Persons
Aaron Ploetz is the NoSQL Engineering Lead for Target, where his DevOps team supports Cassandra, MongoDB, and Neo4j. He has been named a DataStax MVP for Apache Cassandra three times and has presented at multiple events, including the DataStax Summit and Data Day Texas. Aaron earned a BS in Management/Computer Systems from the University of Wisconsin-Whitewater, and an MS in Software Engineering from Regis University. He and his wife, Coriene, live with their three children in the Twin Cities area. Tejaswi Malepati is the Cassandra Tech Lead for Target. He has been instrumental in designing and building custom Cassandra integrations, including a web-based SQL interface and data validation frameworks between Oracle and Cassandra. Tejaswi earned a master's degree in computer science from the University of New Mexico, and a bachelor's degree in electronics and communication from Jawaharlal Nehru Technological University in India. He is passionate about identifying and analyzing data patterns in datasets using R, Python, Spark, Cassandra, and MySQL.
Content
Table of Contents
Quick Start
Cassandra Architecture
Effective CQL
Configuring a Cluster
Performance Tuning
Managing a Cluster
Monitoring
Application Development
Integration with Apache Spark
Appendix - References
Quick Start
Cassandra Architecture
Effective CQL
Configuring a Cluster
Performance Tuning
Managing a Cluster
Monitoring
Application Development
Integration with Apache Spark
Appendix - References