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3 produkter
3 produkter
Häftad, Engelska, 2012
304 kr
Skickas inom 5-8 vardagar
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.
E-bok
Engelska, 2012413 kr
Läs direkt efter köp
Need to move a relational database application to Hadoop? This comprehensive guide introduces you to Apache Hive, Hadoop’s data warehouse infrastructure. You’ll quickly learn how to use Hive’s SQL dialect—HiveQL—to summarize, query, and analyze large datasets stored in Hadoop’s distributed filesystem.
This example-driven guide shows you how to set up and configure Hive in your environment, provides a detailed overview of Hadoop and MapReduce, and demonstrates how Hive works within the Hadoop ecosystem. You’ll also find real-world case studies that describe how companies have used Hive to solve unique problems involving petabytes of data.
Use Hive to create, alter, and drop databases, tables, views, functions, and indexesCustomize data formats and storage options, from files to external databasesLoad and extract data from tables—and use queries, grouping, filtering, joining, and other conventional query methodsGain best practices for creating user defined functions (UDFs)Learn Hive patterns you should use and anti-patterns you should avoidIntegrate Hive with other data processing programsUse storage handlers for NoSQL databases and other datastoresLearn the pros and cons of running Hive on Amazon’s Elastic MapReduce
471 kr
Skickas inom 5-8 vardagar
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 FeaturesGet the best out of Cassandra using this efficient recipe bankConfigure and tune Cassandra components to enhance performanceDeploy Cassandra in various environments and monitor its performanceWell 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 learnInteract with Cassandra using the command line interfaceWrite programs that access data in CassandraConfigure and tune Cassandra components to enhance performanceModel data to optimize storage and accessUse tunable consistency to optimize data accessDeploy Cassandra in single and multiple data center environmentsMonitor the performance of CassandraManage a cluster by joining and removing nodesUse libraries and third party applications with CassandraIntegrate Cassandra with HadoopWho 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.