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

�ber die Autorin bzw. den Autor

Edward Capriolo is currently System Administrator at Media6degrees where he helps design and maintain distributed data storage systems for the internet advertising industry. Edward 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. Dean 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. Jason Rutherglen is a software architect at Think Big Analytics and specializes in Big Data, Hadoop, search, and security.

��ber diesen Titel� kann sich auf eine andere Ausgabe dieses Titels beziehen.

Anbieterinformationen

ThriftBooks is a fully independent seller of used books, having sold more than 160 million used and new books since we started in 2003. Each quality used book is sorted, graded, shelved and shipped by hand by our team of dedicated employees in our seven warehouses across the US. We have the best selection of books, in the right condition and format, at everyday low prices. We also have a dedicated, US-based Customer Service team, ranked in the top three by Newsweek for Best Customer Service in 2018 and 2019, so you can shop with confidence. We support and invest in our employees, appreciate and value our customers, and truly believe in the power of the written word to educate, energize, and engage readers of all ages and interests.

Zur Homepage des Verk�ufers

Unternehmensdaten des Verk�ufers

Thrift Books Global LLC
18300 Cascade Ave S, Seattle, WA, 98188, U.S.A.

Gesch�ftsbedingungen und Versandinformationen

Verkaufsbedingungen

We guarantee each book that we send you. If you have any problems, please contact
our dedicated customer service department. They will do everything possible to
ensure you are happy with your order.

Versandbedingungen

All domestic Standard and Expedited shipments are distributed from our warehouses by OSM, then handed off to the USPS for final delivery.

2-Day Shipping is delivered by FedEx, which does not deliver to PO boxes.

International shipments are tendered to the local postal service in the destination country for final delivery – we do not use courier services for international deliveries.