Data Warehouse Tutorial For Beginners

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

This Data Warehouse Tutorial For Beginners will give you an introduction to data warehousing and business intelligence. You will be able to understand basic data warehouse concepts with examples. The following topics have been covered in this tutorial:
1. What Is The Need For BI?
2. What Is Data Warehousing?
3. Key Terminologies Related To DWH Architecture: a. OLTP Vs OLAP b. ETL c. Data Mart d. Metadata
4. DWH Architecture
5. Demo: Creating A DWH

 
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 warehousing
Published / Broadcast: 
Thursday, June 22, 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.
Contact Organization(s): 
Edureka
Educational Info
Purpose - primary educational reason for which the learning resource was created: 
Instruction - detailed information about aspects or processes related to data management.
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 policymaker
Data professional
Graduate student
Intended time to complete - approximate amount of time the average student will take to complete the learning resource: 
More than 1 hour (but less than 1 day)