Data Vault Modeling Explained With Use Case
Data Vault Modeling Explained With Use Case, available at $29.99, has an average rating of 3.6, with 11 lectures, based on 77 reviews, and has 865 subscribers.
You will learn about Data Vault Modeling Data Modeling When to use Data Vault Model Problems with traditional OLAP Modeling Step By Step Data Vault Model Creation from a Business Case How to design a GDPR complaint Data Architecture using Data Vault approach This course is ideal for individuals who are Data Modelers,Data Architects,Data Analysts, Interview Preparation,Software Engineers,Students It is particularly useful for Data Modelers,Data Architects,Data Analysts, Interview Preparation,Software Engineers,Students.
Enroll now: Data Vault Modeling Explained With Use Case
Summary
Title: Data Vault Modeling Explained With Use Case
Price: $29.99
Average Rating: 3.6
Number of Lectures: 11
Number of Published Lectures: 11
Number of Curriculum Items: 11
Number of Published Curriculum Objects: 11
Original Price: ₹799
Quality Status: approved
Status: Live
What You Will Learn
- Data Vault Modeling
- Data Modeling
- When to use Data Vault Model
- Problems with traditional OLAP Modeling
- Step By Step Data Vault Model Creation from a Business Case
- How to design a GDPR complaint Data Architecture using Data Vault approach
Who Should Attend
- Data Modelers,Data Architects,Data Analysts, Interview Preparation,Software Engineers,Students
Target Audiences
- Data Modelers,Data Architects,Data Analysts, Interview Preparation,Software Engineers,Students
This is a beginner course for understanding Data Vault Modeling.
This course describes below topics
1) What is Data Vault : Generic Definition,
Data Vault is an agile system of business intelligence built to solve inadequacies in the Data Warehouse. Data Vault is one of the most popular methodologies when it comes to developing and maintaining a Data Warehouse.
2) What is the problem with traditional OLAP modeling i.e star schema : Problems such as scalability, non-agility, GDPR implementation.
3) How to resolve those problems with Data Vault Modeling.
4) Step by step process to create the data vault model.
5) Benefits of Data Vault, Drawbacks of Data Vault.
6) What is GDPR or General Data Protection Regulation?
General Definition GDPR outlines the specific rights that ensure individuals are in control of their personal data, can request a copy of their data at any time, and can ask for it to be deleted. GDPR will also mean individuals have to give consent before organizations can contact them – putting an end to random direct mail and companies selling data on to others.
7) Problems with implementing GDPR compliant data architecture.
8) Designing GDPR compliant data model using the data vault approach.
9) What is Business data Vault. Designing Bridge, PIT and Reference tables
10) When to use Data Vault Modeling and when not to use Data Vault approach.
11) Data Vault Modeling Tools
All the concepts mentioned above are explained in the course with examples.
After completing the course, the learner will be able to design data vault models and will be able to answers the above-mentioned points.
Course Curriculum
Chapter 1: Introduction
Lecture 1: Introduction
Lecture 2: What is Data Vault
Lecture 3: Explain the use case with traditional star schema
Lecture 4: Problems with traditional data warehouse model
Lecture 5: Raw Vault Vs Business Vault
Lecture 6: Step By Step Data Vault Modeling
Lecture 7: Sample SQL to get report
Lecture 8: How to design a GDPR complaint Data Architecture using Data Vault approach
Lecture 9: Business Data Vault : PIT, Bridge, Reference table
Lecture 10: When To Use Data Vault and When Not To Use Data Vault
Lecture 11: Data Modeling Tools
Instructors
-
Pritha Chakraborty
Cloud Data Architect at Google
Rating Distribution
- 1 stars: 6 votes
- 2 stars: 2 votes
- 3 stars: 16 votes
- 4 stars: 23 votes
- 5 stars: 30 votes
Frequently Asked Questions
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