×
Dodano do koszyka:
Pozycja znajduje się w koszyku, zwiększono ilość tej pozycji:
Zakupiłeś już tę pozycję:
Książkę możesz pobrać z biblioteki w panelu użytkownika
Pozycja znajduje się w koszyku
Przejdź do koszyka

Zawartość koszyka

ODBIERZ TWÓJ BONUS :: »

Programming Hive. Data Warehouse and Query Language for Hadoop Edward Capriolo, Dean Wampler, Jason Rutherglen

(ebook) (audiobook) (audiobook) Książka w języku 1
Programming Hive. Data Warehouse and Query Language for Hadoop Edward Capriolo, Dean Wampler, Jason Rutherglen - okladka książki

Programming Hive. Data Warehouse and Query Language for Hadoop Edward Capriolo, Dean Wampler, Jason Rutherglen - okladka książki

Programming Hive. Data Warehouse and Query Language for Hadoop Edward Capriolo, Dean Wampler, Jason Rutherglen - audiobook MP3

Programming Hive. Data Warehouse and Query Language for Hadoop Edward Capriolo, Dean Wampler, Jason Rutherglen - audiobook CD

Autorzy:
Edward Capriolo, Dean Wampler, Jason Rutherglen
Ocena:
Bądź pierwszym, który oceni tę książkę
Stron:
350
Dostępne formaty:
     ePub
     Mobi

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

Wybrane bestsellery

O autorze książki

Edward Capriolo, who also authored the previous book, Cassandra High Performance Cookbook, 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 as a Linux and network administrator and enjoys the rich world of open source software.

O'Reilly Media - inne książki

Zamknij

Przenieś na półkę

Proszę czekać...
ajax-loader

Zamknij

Wybierz metodę płatności

Ebook
126,65 zł
Dodaj do koszyka
Zamknij Pobierz aplikację mobilną Ebookpoint
Zabrania się wykorzystania treści strony do celów eksploracji tekstu i danych (TDM), w tym eksploracji w celu szkolenia technologii AI i innych systemów uczenia maszynowego. It is forbidden to use the content of the site for text and data mining (TDM), including mining for training AI technologies and other machine learning systems.