{"product_id":"programming-hive-data-warehouse-and-query-language-for-hadoop-9781449319335","title":"Programming Hive: Data Warehouse and Query Language for Hadoop","description":"\u003cp\u003eNeed 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.\u003c\/p\u003e\u003cp\u003eThis 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.\u003c\/p\u003e\u003cul\u003e\n\u003cli\u003eUse Hive to create, alter, and drop databases, tables, views, functions, and indexes\u003c\/li\u003e\n\u003cli\u003eCustomize data formats and storage options, from files to external databases\u003c\/li\u003e\n\u003cli\u003eLoad and extract data from tables--and use queries, grouping, filtering, joining, and other conventional query methods\u003c\/li\u003e\n\u003cli\u003eGain best practices for creating user defined functions (UDFs)\u003c\/li\u003e\n\u003cli\u003eLearn Hive patterns you should use and anti-patterns you should avoid\u003c\/li\u003e\n\u003cli\u003eIntegrate Hive with other data processing programs\u003c\/li\u003e\n\u003cli\u003eUse storage handlers for NoSQL databases and other datastores\u003c\/li\u003e\n\u003cli\u003eLearn the pros and cons of running Hive on Amazon's Elastic MapReduce\u003c\/li\u003e\n\u003c\/ul\u003e\u003cbr\u003e\u003cbr\u003e\u003cbr\u003e\u003cb\u003eAbout the Author\u003c\/b\u003e\u003cbr\u003e\u003cp\u003eEdward Capriolo is currently System Administrator at Media6degrees where he helps design and maintain distributed data storage systems for the internet advertising industry.\u003cbr\u003e\u003cbr\u003eEdward is a member of the Apache Software Foundation and a committer for the Hadoop-Hive project. He has experience as a developer as well Linux and network administrator and enjoys the rich world of open source software.\u003c\/p\u003e\u003cp\u003eDean Wampler is a Principal Consultant at Think Big Analytics, where he specializes in \"Big Data\" problems and tools like Hadoop and Machine Learning. Besides Big Data, he specializes in Scala, the JVM ecosystem, JavaScript, Ruby, functional and object-oriented programming, and Agile methods. Dean is a frequent speaker at industry and academic conferences on these topics. He has a Ph.D. in Physics from the University of Washington.\u003c\/p\u003e\u003cp\u003eJason Rutherglen is a software architect at Think Big Analytics and specializes in Big Data, Hadoop, search, and security.\u003c\/p\u003e\u003cbr\u003e","brand":"O'Reilly Media","offers":[{"title":"Default Title","offer_id":50918054756626,"sku":"9781449319335","price":39.99,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0831\/4771\/8930\/files\/img_303ae815-b409-4539-90c2-9c958ef7d074.jpg?v=1738875064","url":"https:\/\/surprise-castle.myshopify.com\/products\/programming-hive-data-warehouse-and-query-language-for-hadoop-9781449319335","provider":"Surprise Castle","version":"1.0","type":"link"}