Normal view MARC view ISBD view

Hadoop fundamentals 2/e / Douglas Eadline.

By:

Eadline, Doug, 1956- [on-screen presenter.]

Contributor(s):

Safari eBooks

Series: LiveLessons (Indianapolis, Ind.)Publisher: [Place of publication not identified] : Addison-Wesley, [2015]Copyright date: (copy)2015Description: 1 online resource (1 streaming video file (9 hr., 26 min., 48 sec.)) : digital, sound, colorContent type:

two-dimensional moving image

Media type:

computer

Carrier type:

online resource

Other title:

Title on resource description page: Hadoop fundamentals livelessons (video training), 2/e

Subject(s):

Genre/Form:

Electronic books.

LOC classification:

QA76.9.D5

Online resources:

Click here to access online

Presenter, Douglas Eadline.Summary: "Apache Hadoop is a freely available open source tool-set that enables big data analysis. This Hadoop Fundamentals LiveLessons tutorial demonstrates the core components of Hadoop including Hadoop Distriuted File Systems (HDFS) and MapReduce. In addition, the tutorial demonstrates how to use Hadoop at several levels including the native Java interface, C++ pipes, and the universal streaming program interface. Examples of how to use high level tools include the Pig scripting language and the Hive 'SQL like' interface. Finally, the steps for installing Hadoop on a desktop virtual machine, in a Cloud environment, and on a local stand-alone cluster are presented. Topics covered in this tutorial apply to Hadoop version 2 (i.e., MR2 or Yarn)."--Resource description page.

Item type:

eBooks

Average rating: 0.0 (0 votes)

Holdings ( 0 )
Title notes ( 3 )

No physical items for this record

Title and publication information from title screen (viewed November 18, 2014).

Presenter, Douglas Eadline.

"Apache Hadoop is a freely available open source tool-set that enables big data analysis. This Hadoop Fundamentals LiveLessons tutorial demonstrates the core components of Hadoop including Hadoop Distriuted File Systems (HDFS) and MapReduce. In addition, the tutorial demonstrates how to use Hadoop at several levels including the native Java interface, C++ pipes, and the universal streaming program interface. Examples of how to use high level tools include the Pig scripting language and the Hive 'SQL like' interface. Finally, the steps for installing Hadoop on a desktop virtual machine, in a Cloud environment, and on a local stand-alone cluster are presented. Topics covered in this tutorial apply to Hadoop version 2 (i.e., MR2 or Yarn)."--Resource description page.