| Description |
1 online resource (1 streaming video file (1 hr., 3 min., 58 sec.)) : digital, sound, color |
| Performer |
Presenter, Frank Kane. |
| Note |
Title from title screen (viewed April 18, 2017). |
|
Date of publication from resource description page. |
| Summary |
"Hadoop is today's most pervasive technology used in Big Data for distributing the processing of massive data sets across clusters of commodity computers. With Amazon's Elastic MapReduce service (EMR), you can rent capacity through Amazon Web Services (AWS) to store and analyze data at minimal cost on top of a real Hadoop cluster. This course shows you how to use an EMR Hadoop cluster via a real life example where you'll analyze movie ratings data using Hive, Pig, and Oozie. It focuses on practical tips for using an EMR cluster efficiently, integrating the cluster with Amazon's S3 service, and determining the right money-saving size for a cluster. You'll learn how to interact with your cluster through the Hue Web interface, from a terminal prompt, as well as through EMR steps that can execute your scripts automatically."--Resource description page. |
| Subject |
Apache Hadoop.
|
|
Apache Hadoop. |
|
Big data.
|
|
Data mining.
|
|
Données volumineuses. |
|
Exploration de données (Informatique) |
|
Big data. |
|
Data mining. |
|
More Resources