Modern Data Warehouse Concepts (Udemy.com)
Fundamentals, Strategies & Architecture options for implementing a Modern Data Warehouse Environment
Created by: Sid Inf
Last updated June 2020
What you will learn
- What is the need to move from a traditional Data Warehouse to a Modern Data Warehouse?
- What are the benefits to an Enterprise to move on to a Modern Data Warehouse?
- On what basis should we consider to move from a traditional Data Warehouse to a Modern Data Warehouse
- What are the common use cases we should consider when considering the option of Modernizing the traditional Data Warehouse?
How it compares
Against the other 1,182 rated Udemy courses in IT & Software on CourseDuck:
- Rating4.0 out of 5higher than 6% of them
- Reviews97#1,013 of 1,183 by number of reviews
- Length2.9 hoursshorter than 72% of them
- Last updatedJune 2020earlier than 84% of them
Course Description
The objective of this course is to learn/know the fundamentals of the Modern Data Warehouse and what strategies can be used move from a traditional Data Warehouse in combination of Big Data Technologies, Data Lakes and Data Visualization.
A Modern Data Warehouse gives us flexibility to analyze the data we need, in the format we need it by using familiar tools , technologies, concepts like Big Data, Hadoop, Cloud Ecosystems, BI tools and SQL/NoSQL. A Modern Data Warehouse will be able to consume and process variety of data formats like the semi structured, unstructured and multi structured. These data sets come in multiple formats and are generated from a non-transactional systems such as machines, sensors, and customer interaction streams. These systems are not only varied but also, they're producing data at volumes, varieties, and velocities like we've never seen before. This kind of data is not new. We've actually had multi-structured data for a long time, but very few organizations could work with it before because it is so expensive to store and so hard to connect or link them using the traditional data warehouse architectures or models.
Instructor Details
- 4.0 Rating
97 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 Pradyumna Sinha on 7/4/2024
This guy is really explaining the concepts here, and this is the second course of Sid Sir which I have taken, really love the way he explains the concepts.
By Paweł Sosnowski on 7/16/2023
a lot of repeating the same things over and over again, animated stock backgrounds that only distract the viewer, non-native speaker so it's hard to understand them at times, captions are comically bad (why didn't anyone check them?)
By Byron Veasey on 5/9/2023
Dimensional data warehouse, that cover fact and dimension tables, as developed by Ralph Kimball, was not covered. Otherwise, good course.
By Monalisha Kar on 10/10/2022
not very much clear....
By Philippe Desrochers on 8/26/2022
thanks, overall this is course is good.
By James Smith on 2/3/2021
Good discussion of the key concepts and terms.
By Robert on 1/11/2021
Some areas the sound quality is very poor. The actual content is good though.
By Shashidhar Shivanna on 11/16/2020
awesome, super explanation
Quality Score
No CourseDuck member has rated this course yet. Taken it? Give each part a thumbs up or down.
Overall Score : 80 / 100












