
UdemyA short, 30-minute crash course covering the absolute basics of data warehousing — deliberately scoped as a single foundational module rather than a full course, meant to prepare beginners before they tackle Azure Synapse SQL Data Warehouse.
Absolute beginners to data warehousing concepts, including database and BI developers, database administrators, and data analysts who have basic T-SQL and database knowledge but haven't worked with warehousing before. It's explicitly not intended for anyone already experienced with the topic or looking for hands-on demos.
It's framed as a stepping stone — the concepts here are meant to establish a foundation before moving on to more advanced, practical Azure Synapse Analytics material.
Important Note:
Please note that this is NOT a full course but a single module of the full-length course, and intended to cover very basic fundamental concepts for absolute beginners so that they can speed up with Azure Synapse SQL Data Warehouse course.
This module is NOT GOOD for you if:
You are already experienced in this technology
You are looking for an intermediate or advance concepts
You are looking for practical examples or demo
This module is GOOD for you if:
You want to understand the basic fundamental concepts of this technology.
This is a free module to help others. If you are not in the intended audience, I request you to please feel free to unenroll.
Where I can find a full-length course?
Please look at the bonus lecture in the end.
What will students learn in this course?
Microsoft SQL Data Warehouse (Crash course to speed up with Cloud warehousing)
Level
Beginners
Intended Audience
Anyone who wants to start learning Data warehousing
Language
English
If you are not comfortable in English, please do not take the course, captions are not good enough to understand the course.
Target Students
Database and BI developers
Database Administrators
Data Analyst or similar profiles
Prerequisites
Basic T-SQL and Database concepts
Course In Detail
Data Warehouse Crash Course
In this module, you will learn, what is Data Warehouse, Why we need it and how it is different from the traditional transactional database.
We will learn the concept of dimensional modeling which is a database design method optimized for data warehouse solutions.
Then I will explain what we mean when we say facts and their corresponding fact tables. What are the dimensions and their corresponding dimension tables?
how are these special kinds of tables joined together to form a star schema or snowflake schema?
This section will establish the foundation before you start my course on Azure Synapse Analytics or formally known as Azure SQL Data Warehouse.
[Tags]
Microsoft SQL Server, Azure SQL Server, Azure SQL Data Warehouse, Data Factory, Data Lake, Azure Storage, Azure Synapse Analytics Service, PolyBase, Azure monitoring, Azure Security, Data Warehouse, SSIS
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