What value this book provides? This book absolutely provides tremendous value in terms its usefulness. This book takes away the pain associated with learning and mastering Cassandra. All complexity has been digested by the author and simplified for the reader with very useful and practical information that can be absorbed just by glancing through the pages. Years of author's experience and practical knowledge in Cassandra has been gifted to the reader in this book with great diligence and generosity. If you are planning to undergo expensive Cassandra training, think again, spending few hours with this book will change your mind, this book has been written with great care to reduce the learning curve. The aim of this book is multi fold, just to mention a few: Provide confidence to the reader in Cassandra concepts and architecture Provide a flexible, practical framework and context customizable for various situations Provide practical guidance to manage Cassandra platforms of various hues, sizes, shapes Provide real world examples to reduce guess work Provide executable query statements and command line statements at every step Provide practical outcomes to help the reader to gain instance understanding of what to expect Provide insights into making Cassandra environment robust and scalable Provide tricks and tips to implement and maintain seamlessly Provide security and vulnerability mitigation tips and steps Provide best practices to follow for optimal Cassandra use There is no doubt - this book makes the reader very productive Cassandra professional in very short span of time. This book essentially bridges the training gap as the industry is moving fast to take full advantage of what Cassandra can offer to fulfill emerging business needs. This book can be very helpful to Data administrators, Developers, Data modelers/Application Architects, Project Managers and Data Custodians. This book has range of topics, many are listed here: Cassandra concepts and architecture Cassandra Installation and Configuration Cassandra system architecture depicting gossip protocol, replication, consistency, tombstones, hinted handoff, compactions, repairs, memtables, commit log, read and write path functions Cassandra oriented data modelling Cassandra QL (CQL) tutorial Handling of Primary and Partition keys in Cassandra covering No joins, Static columns and TTL aspects Configuring authentication, authorization to access Cassandra in addition, steps to set up node-node and client-node SSL Configuring nodes addition, removal, decommission in single token and vnode setup modes in Cassandra Instructions to add new data center and delink the existing data center from a multi-dc cluster arrangement Cassandra backup and recovery functions with real examples of restoring tables after truncation events Cassandra utilities such as sstabledump, sstablemetadata, sstablesplit, cqlsh and cassandra-stress Troubleshooting methods such as Node down, Read latency and Recover truncated table Upgrading Cassandra to higher versions Additional Cassandra architecture II methods such as Read and Write path, Compactions and Repairs

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 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.

This updated and expanded second edition of the DBA's Guide to NoSQL: Apache Cassandra provides a user-friendly introduction to the subject Taking a clear structural framework, it guides the reader through the subject's core elements. A flowing writing style combines with the use of illustrations and diagrams throughout the text to ensure the reader understands even the most complex of concepts. This succinct and enlightening overview is a required reading for all those interested in the subject . We hope you find this book useful in shaping your future career & Business.

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 expanded second edition—updated for Cassandra 3.0—provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra’s non-relational design, with special attention to data modeling. If you’re a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you 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 Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene

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

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 expanded second edition--updated for Cassandra 3.0--provides the technical details and practical examples you need to put this database to work in a production environment. Authors Jeff Carpenter and Eben Hewitt demonstrate the advantages of Cassandra's non-relational design, with special attention to data modeling. If you're a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you 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 Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data Maintain a high level of performance in your cluster Deploy Cassandra on site, in the Cloud, or with Docker Integrate Cassandra with Spark, Hadoop, Elasticsearch, Solr, and Lucene

"Apache Cassandra is an open-source NoSQL database that specializes in speed, scale, and uptime. With technical features based on Dynamo and Google BigTable, Cassandra is one of the most widely used distributed data storage systems available. If you've got more data than can fit on one server, uptime is important to you, and if you're working with data that changes rapidly, then Cassandra is a database to think about. This tutorial provides a complete introduction to Cassandra. Not only will you understand how Cassandra distinguishes itself from relational databases and other NoSQL stores, you'll learn enough of the Java API to get started writing code. The course explores Cassandra's unique tabular data model; digs into the internal performance of each node in a Cassandra database--the read and write path; explains the operational responsibilities for maintaining a Cassandra cluster; and guides you through writing Java code that writes to and reads from a Cassandra database. If you're a developer or architect just getting started with Cassandra, or someone considering using a non-relational data store, this video tutorial will illuminate the capabilities of this massively popular NoSQL database."--Resource description page.

Achieve scalability and high availability without compromising on performance About This Book See how to get 100 percent uptime with your Cassandra applications using this easy-follow guide Learn how to avoid common and not-so-common mistakes while working with Cassandra using this highly practical guide Get familiar with the intricacies of working with Cassandra for high availability in your work environment with this go-to-guide Who This Book Is For If you are a developer or DevOps engineer who has basic familiarity with Cassandra and you want to become an expert at creating highly available, fault tolerant systems using Cassandra, this book is for you. What You Will Learn Understand how the core architecture of Cassandra enables highly available applications Use replication and tunable consistency levels to balance consistency, availability, and performance Set up multiple data centers to enable failover, load balancing, and geographic distribution Add capacity to your cluster with zero downtime Take advantage of high availability features in the native driver Create data models that scale well and maximize availability Understand common anti-patterns so you can avoid them Keep your system working well even during failure scenarios In Detail Apache Cassandra is a massively scalable, peer-to-peer database designed for 100 percent uptime, with deployments in the tens of thousands of nodes, all supporting petabytes of data. This book offers a practical insight into building highly available, real-world applications using Apache Cassandra. The book starts with the fundamentals, helping you to understand how Apache Cassandra's architecture allows it to achieve 100 percent uptime when other systems struggle to do so. You'll get an excellent understanding of data distribution, replication, and Cassandra's highly tunable consistency model. Then we take an in-depth look at Cassandra's robust support for multiple data centers, and you'll see how to scale out a cluster. Next, the book explores the domain of application design, with chapters discussing the native driver and data modeling. Lastly, you'll find out how to steer clear of common anti-patterns and take advantage of Cassandra's ability to fail gracefully. Style and approach This practical guide will get you implementing Cassandra right from the design to creating highly available systems. Through a systematic, step-by-step approach, you will learn different aspects of building highly available Cassandra applications and all this with the help of easy-to-follow examples, tips, and tricks.

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 third edition-updated for Cassandra 4.0-provides the technical details and practical examples you need to 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. If you're a developer, DBA, or application architect looking to solve a database scaling issue or future-proof your application, this guide helps you 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 Develop sample applications using client drivers for languages including Java, Python, and Node.js Explore cluster topology and learn how nodes exchange data.

Are you a system administrator or a DevOps looking for a valuable certification in the most popular NoSQL wide-column store? These two original practice tests will help you score big in your Apache Cassandra Administrator Associate certification exam. This book contains two high-quality practice tests similar to the proctored exam. Just like the actual exam, each exam practice test has 60 questions that you can try answer in 90 minutes or less. You may also consider a 70% passing score, just like for the real exam. DataStax, the largest provider of a commercial version for Apache Cassandra, is also the company that offers these Administrator and Developer certification exams. DataStax cut down the price for a certification exam to $145 US. But you can qualify for a free voucher and pay nothing, if you complete a learning path watching three of their courses online. This is not a brain dump, but the questions closely emulate those from the actual exam. All practice test questions are created by the author and do not repeat themselves. Each question has a detailed explanation and one or more references. The questions are divided in four categories: Architecture, Operations, Data Modeling, and CQL. While both the Administrator and Developer paths have some common recommended courses, the practice tests include several questions from my previously published Become a Certified Cassandra Developer: Practice Exams book. The exam has been updated in mid-2020, and we offer here the same level of difficulty as those latest exam questions. Most questions are single-select, with four possible choices. Few questions have multiple-choices. There are no True/False questions. What you don't have at the actual exam are the questions you missed, and the correct answers. We provide detailed explanations with link references for every question. The exam will test your administration skills for Apache Cassandra 3 and DataStax Enterprise 6. You should have some prior basic knowledge on the product. Go to their online documentation, and watch DataStax Academy's recommended videos for this certification exam, to know more. An interactive version of this book has been implemented on Udemy: Become a Certified Cassandra Administrator: Practice Exams.