Apache Cassandra is a free and open-source distributed NoSQL database management system capable of handling large amounts of data that change very rapidly. Cassandra was made by Avinash Lakshman and Prashant Malik in 2008 at Facebook. It became a Apache project in 2009. Cassandra is is highly scalable and is designed to manage very large amounts of structured data. It provides high availability with no single point of failure. Here’s a list of the best Apache Cassandra tutorials, Apache Cassandra books & Apache Cassandra courses 2023 to help you learn Apache Cassandra in 2023.
Table of Contents
Cassandra: The Definitive Guide, (Revised) Third Edition: Distributed Data at Web Scale
- Carpenter, Jeff (Author)
- English (Publication Language)
- 407 Pages - 03/01/2022 (Publication Date) - O'Reilly Media (Publisher)
Imagine what you could do if scalability wasn’t a problem. With this hands-on guide, you’ll learn how the Cassandra database management system handles hundreds of terabytes of data while remaining highly available across multiple data centers. This revised third edition–updated for Cassandra 4.0 and new developments in the Cassandra ecosystem, including deployments in Kubernetes with K8ssandra–provides technical details and practical examples to help you put this database to work in a production environment.
Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s nonrelational design, with special attention to data modeling. Developers, DBAs, and application architects looking to solve a database scaling issue or future-proof an application will learn how to harness Cassandra’s speed and flexibility.
Understand Cassandra’s distributed and decentralized structure
Use the Cassandra Query Language (CQL) and cqlsh (the CQL shell)
Create a working data model and compare it with an equivalent relational model
Design and develop applications using client drivers
Explore cluster topology and learn how nodes exchange data
Maintain a high level of performance in your cluster
Deploy Cassandra onsite, in the cloud, or with Docker and Kubernetes
Integrate Cassandra with Spark, Kafka, Elasticsearch, Solr, and Lucene
Learn Cassandra from the best Apache Cassandra book in 2023.
Apache Cassandra Hands-On Training Level One
- Stryker, Ruth (Author)
- English (Publication Language)
- 406 Pages - 07/23/2014 (Publication Date) - CreateSpace Independent Publishing Platform (Publisher)
Written clearly by Ruth Stryker and in detail, this 400-page course is a great starting point for people who want to become familiar with Apache Cassandra and learn better by doing. Apache Cassandra Hands-On Training Level One, a high-quality, hands-on, project-based hands-on training tutorial book, is designed to be used as a student book for a 2-day Introductory Cassandra course taught by an instructor of Cassandra. With that said, this book can also be conducted as a self-paced training course.
The recommended prerequisites for this training manual are experience with databases, SQL, and programming. This hands-on training book guides users through the basics of using Cassandra as they learn how to install Cassandra, create a database, create tables, insert, update, and delete data, create an application, as well as create and modify. a cluster of multiple nodes. .
Mastering Apache Cassandra 3.x: An expert guide to improving database scalability and availability without compromising performance, 3rd Edition
- Ploetz, Aaron (Author)
- English (Publication Language)
- 348 Pages - 10/31/2018 (Publication Date) - Packt Publishing (Publisher)
by Sam R. Alapati. With 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. 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
This is the best advanced Apache Cassandra book in 2023.
Expert Apache Cassandra Administration
- Amazon Kindle Edition
- Alapati, Sam R. (Author)
- English (Publication Language)
by Sam R. Alapati. Follow this handbook to build, configure, tune, and secure Apache Cassandra databases. Start with the installation of Cassandra and move on to the creation of a single instance, and then a cluster of Cassandra databases.
Cassandra is increasingly a key player in many big data environments, and this book shows you how to use Cassandra with Apache Spark, a popular big data processing framework. Also covered are day-to-day topics of importance such as the backup and recovery of Cassandra databases, using the right compression and compaction strategies, and loading and unloading data.
Expert Apache Cassandra Administration provides numerous step-by-step examples starting with the basics of a Cassandra database, and going all the way through backup and recovery, performance optimization, and monitoring and securing the data. The book serves as an authoritative and comprehensive guide to the building and management of simple to complex Cassandra databases. The book:
Takes you through building a Cassandra database from installation of the software and creation of a single database, through to complex clusters and data centers
Provides numerous examples of actual commands in a real-life Cassandra environment that show how to confidently configure, manage, troubleshoot, and tune Cassandra databases
Shows how to use the Cassandra configuration properties to build a highly stable, available, and secure Cassandra database that always operates at peak efficiency
You’ll Learn
Install the Cassandra software and create your first database
Understand the Cassandra data model, and the internal architecture of a Cassandra database
Create your own Cassandra cluster, step-by-step
Run a Cassandra cluster on Docker
Work with Apache Spark by connecting to a Cassandra database
Deploy Cassandra clusters in your data center, or on Amazon EC2 instances
Back up and restore mission-critical Cassandra databases
Monitor, troubleshoot, and tune production Cassandra databases, and cut your spending on resources such as memory, servers, and storage