Edward Capriolo

Hive makes life much easier for developers who work with stored and managed data in Hadoop clusters, such as data warehouses. With this example-driven guide, you'll learn how to use the Hive infrastructure to provide data summarization, query, and analysis - particularly with HiveQL, the query language dialect of SQL. You'll learn how to set up Hive in your environment and optimize its use, and how it interoperates with other tools, such as HBase. You'll also learn how to extend Hive with custom code written in Java or scripting languages. Ideal for developers with prior SQL experience, this book shows you how Hive simplifies many tasks that would be much harder to implement in the lower-level MapReduce API provided by Hadoop.

You can mine deep into the full capabilities of Apache Cassandra using the 150+ recipes in this indispensable Cookbook. From configuring and tuning to using third party applications, this is the ultimate guide. Key Features Get the best out of Cassandra using this efficient recipe bank Configure and tune Cassandra components to enhance performance Deploy Cassandra in various environments and monitor its performance Well illustrated, step-by-step recipes to make all tasks look easy! Book DescriptionApache Cassandra is a fault-tolerant, distributed data store which offers linear scalability allowing it to be a storage platform for large high volume websites. This book provides detailed recipes that describe how to use the features of Cassandra and improve its performance. Recipes cover topics ranging from setting up Cassandra for the first time to complex multiple data center installations. The recipe format presents the information in a concise actionable form.The book describes in detail how features of Cassandra can be tuned and what the possible effects of tuning can be. Recipes include how to access data stored in Cassandra and use third party tools to help you out. The book also describes how to monitor and do capacity planning to ensure it is performing at a high level. Towards the end, it takes you through the use of libraries and third party applications with Cassandra and Cassandra integration with Hadoop.What you will learn Interact with Cassandra using the command line interface Write programs that access data in Cassandra Configure and tune Cassandra components to enhance performance Model data to optimize storage and access Use tunable consistency to optimize data access Deploy Cassandra in single and multiple data center environments Monitor the performance of Cassandra Manage a cluster by joining and removing nodes Use libraries and third party applications with Cassandra Integrate Cassandra with Hadoop Who this book is forThis book is designed for administrators, developers, and data architects who are interested in Apache Cassandra for redundant, highly performing, and scalable data storage. Typically these users should have experience working with a database technology, multiple node computer clusters, and high availability solutions.