My Account Log in

1 option

Introduction to Apache Hive / Hanlon, Tom.

O'Reilly Online Learning: Academic/Public Library Edition Available online

View online
Format:
Video
Author/Creator:
Hanlon, Thomas W., author.
Language:
English
Subjects (All):
Apache Hadoop.
Database management.
SQL (Computer program language).
Databases--Development.
Databases.
Databases--Design.
Genre:
Electronic videos.
Physical Description:
1 online resource (1 video file, approximately 1 hr., 43 min.)
Edition:
1st edition
Place of Publication:
Infinite Skills, 2015.
System Details:
video file
Summary:
In this Introduction to Apache Hive training course, expert author Tom Hanlon will teach you how to create and query large datasets in Hadoop. This course is designed for the absolute beginner, meaning no experience with SQL or Hadoop is required. You will start by learning how to connect to Hive, then jump into learning how to create tables and load data. From there, Tom will teach you how to manipulate tables with HiveQL, including how to insert data into a Hive table using HiveQL. This video tutorial also covers how to create views and partitions and transform data with custom scripts. Finally, you will learn about Hive execution engines, such as Map Reduce, Tez, and Spark. Once you have completed this computer based training course, you will have learned how to create tables and load data in Hive, execute SQL queries, use user defined functions, and transform scripts.
Participant:
Presenter, Tom Hanlon.
Notes:
Title from title screen (viewed November 4, 2015).
Date of publication from resource description page.
Online resource; Title from title screen (viewed October 8, 2015)
OCLC:
927715262

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account