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LifestyleData Warehouse Development Process (Udemy.com)
Specific aspects of Data Warehouse Development Process
Created by: Sid Inf
Last updated March 2019
What you will learn
- Understand various stages in Data Warehouse development process
- Various processes like Waterfall model, V model and Agile methods
- Specific aspects of Data Warehouse development process
- Importance of the various phases and the practicality of each phase
- Overview of various issues and Project Management issues to be considered in the Data warehouse and Business Intelligence projects
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.4 out of 5higher than 30% of them
- Reviews804#451 of 1,183 by number of reviews
- Length4.2 hoursshorter than 59% of them
- Last updatedMarch 2019earlier than 90% of them
Course Description
Data is the new asset for the enterprises. And, Data Warehouse store the data for better insights and knowledge using Business Intelligence. Development of an Enterprise Data Warehouse has more challenges compared to any other software projects because of the
- Challenges with data structures
- The way data is evaluated for it's quality
- Complex business rules/validations
- Different development methods (various SDLC models like Water Fall model, V model, Agile Model, Incremental model, Iterative model)
- Regulatory requirements for various domains like finance, telecom, insurance, Retail and IME
- Compliance from third party governing bodies
- Extracting data for various visualization purposes
In this course, we talk about the specific aspects of the Data Warehouse Development process taking real time practical situations and how to handle them better using best practices for sustainable, scalable and robust implementations.
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Instructor Details
- 4.4 Rating
804 Reviews
Sid Inf
Business Intelligence Consultant and Trainer with 14+ years of extensive work experience on various client engagements. Delivered many large data warehousing projects and trained numerous professionals on business intelligence technologies. Extensively worked on all facets of data warehousing including requirement gathering, gap analysis, database design, data integration, data modeling, enterprise reporting, data analytics, data quality, data visualization, OLAP.
Has worked on broad range of business verticals and hold exceptional expertise on various ETL tools like Informatica Powercenter, SSIS, ODI and IDQ, Data Virtualization, DVO, MDM.
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Reviews
By Antonina on 9/20/2023
the course is very theoretical and does not have any exercises to make the information remember better. the dwh development models are described in a very broad manner, no detailed examples; no materials to download; I would appreciate if at least the slides were downloadable.
By Dr. Artrina Sturges on 7/27/2021
Presentation was very good, appreciated the real world considerations for Project Managers and emphasis on the importance of stakeholder management.
By Pratima Somaji Tandale on 9/12/2020
was expecting some practical information sharing.
By Tung Nguyen on 7/7/2020
Excellent course!
By Varsha Diwan on 5/26/2020
Good
By Bonnie Chan on 5/21/2020
I enjoyed the course. It has given me an overall framework and components to the data warehouse development process. Thanks.
By Malloy, H. Christopher on 5/15/2020
I think the content was solid and useful. However, the lecture format and the density of the lectures, made it challenging to review the lecture material in a sequential or categorical way -- in other words, there were a lot of long-winded attempts to present the concepts and intermingling prose that made the main points the lecturer was making challenging to follow AND catalog. Suggestion: update the style of presentation, use more modern presentation tools outside of PPT, and add more media so students do not get numb looking at static images.
By Abhijeet kumar pandey on 4/23/2020
If you have some knowledge then you won't find it much useful.
Lack of real time scenarios , good for theoretical knowledge.
By Zephyr C. on 4/17/2020
I think the content was solid and useful. However, the lecture format and the density of the lectures, made it challenging to review the lecture material in a sequential or categorical way -- in other words, there were a lot of long-winded attempts to present the concepts and intermingling prose that made the main points the lecturer was making challenging to follow AND catalog. Suggestion: update the style of presentation, use more modern presentation tools outside of PPT, and add more media so students do not get numb looking at static images.
By Namrata Karira on 2/13/2020
it helped me a lot to understand the concepts clearly. Sid's explanation is so good that it felt like real time lecture.
I m happy with it.
By Naftal O.Gichaba on 11/12/2019
Straight to the point and easy to understand.
By Rajesh Ranganathan on 11/10/2019
i didnt anything specific to data warehouse yet , all it talks about is general development process which i am not interested
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 88 / 100
- Video Duration:
4.2h - Price: See price on Udemy
- Provider: Udemy
- Updated:
March 2019 - Level:
Beginner - Language:
English - Certificate:
Yes
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