Apache Cassandra Essentials

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Apache Cassandra Essentials

Author: Nitin Padalia
language: en
Publisher: Packt Publishing Ltd
Release Date: 2015-11-20
Create your own massively scalable Cassandra database with highly responsive database queries About This Book Create a Cassandra cluster and tweak its configuration to get the best performance based on your environment Analyze the key concepts and architecture of Cassandra, which are essential to create highly responsive Cassandra databases A fast-paced and step-by-step guide on handling huge amount of data and getting the best out of your database applications Who This Book Is For If you are a developer who is working with Cassandra and you want to deep dive into the core concepts and understand Cassandra's non-relational nature, then this book is for you. A basic understanding of Cassandra is expected. What You Will Learn Install and set up your Cassandra Cluster using various installation types Use Cassandra Query Language (CQL) to design Cassandra database and tables with various configuration options Design your Cassandra database to be evenly loaded with the lowest read/write latencies Employ the available Cassandra tools to monitor and maintain a Cassandra cluster Debug CQL queries to discover why they are performing relatively slowly Choose the best-suited compaction strategy for your database based on your usage pattern Tune Cassandra based on your deployment operation system environment In Detail Apache Cassandra Essentials takes you step-by-step from from the basics of installation to advanced installation options and database design techniques. It gives you all the information you need to effectively design a well distributed and high performance database. You'll get to know about the steps that are performed by a Cassandra node when you execute a read/write query, which is essential to properly maintain of a Cassandra cluster and to debug any issues. Next, you'll discover how to integrate a Cassandra driver in your applications and perform read/write operations. Finally, you'll learn about the various tools provided by Cassandra for serviceability aspects such as logging, metrics, backup, and recovery. Style and approach This step-by-step guide is packed with examples that explain the core concepts as well as advanced concepts, techniques, and usages of Apache Cassandra.
Cassandra Essentials

"Cassandra Essentials" "Cassandra Essentials" is a comprehensive guide that explores the architecture, data modeling, and operational best practices for Apache Cassandra, one of the most powerful distributed NoSQL databases on the market today. Beginning with the foundations of distributed data, the book offers a clear exposition of the evolution from traditional relational data models to modern, scalable NoSQL solutions—emphasizing Cassandra’s unique role in the big data landscape. Readers are introduced to fundamental concepts such as the CAP theorem, tunable consistency, and critical use cases where Cassandra’s capabilities shine, all while gaining insight into its integration with broader analytics platforms like Hadoop and Spark. Delving deeper, the book unpacks the intricacies of Cassandra’s peer-to-peer architecture, including its ring topology, partitioning strategies, and replication mechanisms—presenting practical insights for enacting high-availability, fault-tolerant designs. A dedicated focus on data modeling with Cassandra Query Language (CQL) empowers practitioners to design optimal schemas for real-world workloads, avoid common anti-patterns, and leverage advanced features such as collections, user-defined types, and efficient time-series data handling. Operational excellence is emphasized throughout, with in-depth chapters on cluster deployment, configuration, security, disaster recovery, and performance tuning. Finally, "Cassandra Essentials" positions readers at the forefront of modern data infrastructure, addressing topics such as automation, monitoring, compliance, and the integration of Cassandra within microservices, streaming data pipelines, and hybrid-cloud environments. With explorations of serverless architectures, emerging community innovations, and real-world case studies, this book provides both foundational knowledge and forward-looking guidance. Whether you are architecting mission-critical systems or seeking to master large-scale data management, "Cassandra Essentials" is an authoritative resource for unlocking the full potential of Cassandra in today’s data-driven world.
Expert Apache Cassandra Administration

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 simpleto 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 What 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 Who This Book Is For Database administrators, developers, and architects who are looking for an authoritative and comprehensive single volume for all their Cassandra administration needs. Also for administrators who are tasked with setting up and maintaining highly reliable and high-performing Cassandra databases. An excellent choice for big data administrators, database administrators, architects, and developers who use Cassandra as their key data store, to support high volume online transactions, or as a decentralized, elastic data store.