Data Warehouse Concepts | Data Warehouse Tutorial | Data Warehouse Architecture

Key Info
Description - a brief synopsis, abstract or summary of what the learning resource is about: 

This tutorial on data warehouse concepts will tell you everything you need to know in performing data warehousing and business intelligence. The various data warehouse concepts explained in this video are:
1. What Is Data Warehousing?
2. Data Warehousing Concepts:
3. OLAP (On-Line Analytical Processing)
4. Types of OLAP Cubes
5. Dimensions, Facts & Measures
6. Data Warehouse Schema
Check our complete Data Warehousing & Business Intelligence playlist here.

Authoring Organization(s) Name: 
Edureka
License - link to legal statement specifying the copyright status of the learning resource: 
Standard YouTube License
Access Cost: 
No fee
Primary language(s) in which the learning resource was originally published or made available: 
English
More info about
Keywords - short phrases describing what the learning resource is about: 
Business intelligence
Data analysis
Data skills education
Data visualization
Data warehousing
Published / Broadcast: 
Tuesday, June 27, 2017
Publisher - organization credited with publishing or broadcasting the learning resource: 
Edureka
Media Type - designation of the form in which the content of the learning resource is represented, e.g., moving image: 
Moving Image - explains a concept or tells a story by using sound plus a sequence of visual images that give the illusion of continuous movement, e.g., movie.
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Professional Development - increasing knowledge and capabilities related to managing the data produced, used or re-used, curated and/or archived.
Learning Resource Type - category of the learning resource from the point of view of a professional educator: 
Lesson - detailed description of an element of instruction in a course, [could be] contained in a unit of one or more lessons, and used by a teacher to guide class instruction. Example: presentation slides on a topic.
Target Audience - intended audience for which the learning resource was created: 
Data manager
Data professional
Early-career research scientist
Graduate student
Mid-career research scientist
Technology expert group
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
Up to 1 hour