Modeling Data Warehouse with Data Vault 2.0
Course covers the basics and fundamentals of Data Vault 2.0 along with Agile Methodology and Big Data
4.53 (3755 reviews)
16 946
students
6 hours
content
Mar 2022
last update
$79.99
regular price
What you will learn
Get understanding about Traditional Data warehouse concepts
Learn fundamentals of the Data Vault modeling approach
Understand principles of Agile Project Management in Data Vault 2.0
Learn Big Data Platforms Integration with Data Vault 2.0
Understand Data Vault architecture and layers
Learn Business and Information Vault
Understand advanced data modeling techniques
Design a Data Vault practical scenario from scratch
Convert 3NF & Dimensional Model to Data Vault
Understand Dimensional model principles in Data Vault
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Our Verdict
Data Vault 2.0 Modeling: From Beginner to Pro" is a comprehensive course offering thorough insights into traditional data warehousing concepts and Data Vault modeling approach, with real-life examples and advanced techniques discussed. However, it suffers from monotonous delivery, limited advanced examples, and minimal interactivity. A more engaging and visually cued presentation along with an increased number of practical exercises can significantly improve this course's effectiveness in helping learners master Data Vault 2.0 modeling.
What We Liked
- Covers traditional data warehouse concepts and the fundamentals of Data Vault 2.0 modeling approach
- Includes real-life use cases and examples for better understanding
- Detailed content on advanced data modeling techniques and Data Vault architecture
- Provides a practical scenario design from scratch
Potential Drawbacks
- Monotonic delivery with occasional grammar mistakes affecting overall presentation
- Lacks in-depth, advanced examples beyond basic Customer-Product scenario
- Limited interactivity, with only one practice exercise in the entire course
- Insufficient animation and visual cues to follow along during slide discussions
Related Topics
3655144
udemy ID
23/11/2020
course created date
01/07/2021
course indexed date
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