Le nouveau Cherche et trouve de Little Urban, aussi coloré, déjanté et diablement amusant que le premier (A la recherche de la Carotte bleue), en très très grand format pour le plaisir de tout-petits !!! (Et des plus grands, qui trouvera en premier ?)
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 indexes
- Customize data formats and storage options, from files to external databases
- Load and extract data from tables-and use queries, grouping, filtering, joining, and other conventional query methods
- Gain best practices for creating user defined functions (UDFs)
- Learn Hive patterns you should use and anti-patterns you should avoid
- Integrate Hive with other data processing programs
- Use storage handlers for NoSQL databases and other datastores
- Learn the pros and cons of running Hive on Amazon's Elastic MapReduce
Dean Wampler, Ph. D. is a Consultant for Typesafe, where he specializes in helping clients succeed with Scala and Functional Programming projects. He works with "Big Data" tools like Hadoop, Spark, and Machine Learning libraries, and Reactive tools like Akka and Play. Dean is an O'Reilly author and a frequent conference speaker and organizer. He has a Ph. D. in Physics from the University of Washington.