Rating 0 out of 5 (0 ratings in Udemy)
What you'll learn- Test your knowledge of Fundamentals and Advanced concepts of Data Warehousing
- Gauge Yourself in Multiple concepts of Data warehousing, Modelling and DBMS
- Prepare yourself for Interviews
- Become an SME in your team
DescriptionWelcome to the best practice tests to help you prepare for your interviews/improve your skillset on Data Warehousing and other concepts. These Practice tests are designed to test your knowledge on Data …
Rating 0 out of 5 (0 ratings in Udemy)
What you'll learn- Test your knowledge of Fundamentals and Advanced concepts of Data Warehousing
- Gauge Yourself in Multiple concepts of Data warehousing, Modelling and DBMS
- Prepare yourself for Interviews
- Become an SME in your team
DescriptionWelcome to the best practice tests to help you prepare for your interviews/improve your skillset on Data Warehousing and other concepts. These Practice tests are designed to test your knowledge on Data Warehousing and Data Modelling along with other related topics.
Contain 6 separate timed tests of 40 questions each. 240 questions total.
- Each question has detailed explanations at the end of each set that will help you gain a deeper understanding of the concepts.
- The explanation provides an overview of the topic, rationale on why the option is correct or incorrect
- MOBILE-COMPATIBLE - so you can conveniently review everywhere, anytime with your smartphone!
You can retake the exams as many times as you want
This is a huge original question bank
You get support from instructors if you have questions
Each question has a detailed explanation
30-days money-back guarantee if you're not satisfied
Specifically, these practice tests will cover the following topics:
Foundational data warehousing concepts and fundamentals
Datamarts
The fundamentals of dimensional analysis and modeling
Change Data Capture
ETL Strategies with respect to Data Warehousing
3 tier Data Warehouse Architecture
OLTP ,OLAP and its types
ODS, Data Marts
Facts, Dimensions, SCD
Types of facts and dimensions
Ralph Kimball Methodology
Star Schema
Snow Flake schema
Fact Constellation Schema
Bus Architecture
Bill Inmon Methodology
Normal Forms
Types of Database Keys
Basics of RDBMS and types of keys
Dimensional Modelling