Implementing a Data Warehouse with Microsoft SQL Server (Udemy.com)
Design and implement a data warehouse
Created by: Bluelime Learning Solutions
Last updated April 2026
What you will learn
- Describe how to consume data from the data warehouse.
- Create ETL Solution
- Design a data warehouse
- Troubleshoot and Debug SSIS package
- Sort out duplicates
- Extract Data
- Load Data
- Deploy SSIS
- Enforce Data Quality
- Cleanse data
- Analysis data
- Generate reports
How it compares
Against the other 388 rated Udemy courses in SQL on CourseDuck:
- Rating4.2 out of 5higher than 13% of them
- Reviews353#241 of 389 by number of reviews
- Length7.6 hourslonger than 58% of them
- Last updatedApril 2026more recently than 82% of them
Course Description
Target Audience:
=>This course is intended for database professionalswho need to create and support a data warehousing solution. Primary responsibilities include:
Implementing a data warehouse.
Developing SSIS packages for data extraction, transformation, and loading.
Enforcing data integrity by using Master Data Services.
Cleansing data by using Data Quality Services.
Prerequisites :
Experience of working with relational databases, including:
Designing a normalized database.
Creating tables and relationships.
Querying with Transact-SQL.
Some exposure to basic programming constructs (such as looping and branching).
An awareness of key business priorities such as revenue, profitability, and financial accounting is desirable.
Students will learn how to :
Deploy and Configure SSIS packages.
Download and installing SQL Server 2014Download and attaching Adventureworks2014 databaseDownload and installing SSDTDownload and installing Visual studioDescribe data warehouse concepts and architecture considerations.
Select an appropriate hardware platform for a data warehouse.
Design and implement a data warehouse.
Implement Data Flow in an SSIS Package.
Implement Control Flow in an SSIS Package.
Debug and Troubleshoot SSIS packages.
Implement an ETL solution that supports incremental data extraction.
Implement an ETL solution that supports incremental data loading.
Implement data cleansing by using Microsoft Data Quality Services.
Implement Master Data Services to enforce data integrity.
Extend SSIS with custom scripts and components.
Databases vs. Data warehousesChoose between star and snowflake design schemasExplore source dataImplement data flowDebug an SSIS packageExtract and load modified dataEnforce data qualityConsume data in a data warehouse
Who this course is for:
Database professionalsData AnalystNovice data warehouse administrator
Instructor Details
- 4.2 Rating
353 Reviews
Bluelime Learning Solutions
Bluelime is UK based and creates quality easy to understand eLearning solutions .All our courses are 100% video based. We teach hands on- examples that teach real life skills .
Bluelime has engaged in various types of projects for fortune 500 companies and understands what is required to prepare students with the relevant skills they need.
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Reviews
By Hussain M Ibrahim on 10/16/2020
it is very informative
By RobertoM on 10/11/2020
In linea con aspettative, esauriente e dettagliato nel navigare le interfacce.
By Konga Suman on 9/6/2020
yeah its helping me to get knowledge on sql server different editions so far
By Alexander Azhogin on 8/8/2020
Good match, relevant course.
By Georgi Marinov on 7/4/2020
My overall feeling after this course is that it was just patched up from a much older one. There were some things that were not actual and others that were not quite well explained.
The idea of a paid course in my opinion is that the student should get relatively actual impression of the matter, relatively easy access to troubleshooting and a meaningful thorough and complete understanding of the overall meaning and function of the different modules and the combination of them. Otherwise he/she could just gather the knowledge from youtube. I lost lots of time searching for solution of issues I faced during some of the modules.
I did not get this experience in a satisfactory way. Despite, I am thankful for the opportunity.
All the best
Georgi
By Titus Warui Njoroge on 6/4/2020
So far so good
By Kim Beck on 4/22/2020
Tries to cover too many topics in too short time. Does not actually teach you to implement a DWH.
By Katie Efird on 3/12/2020
It would be helpful if this tutorial would guide you through dimensional modeling and fact modeling. It only gives an overview of the existing tables in adventure works. I did not really get anything from this course other than learning more about star and snowflake schemas.
By Mark Kateeb on 2/27/2020
The llnks are outdated.
By Christian Schmitz-Moormann on 2/25/2020
High-level introductory coverage of the topics. Some more in-depth info would be helpful.
By Nitesh Keswani on 2/20/2020
No, this course is not a good match. I was looking for practical problems in understanding data warehousing
By Siham Ettijani on 2/20/2020
The course gives a great overview of the steps that are involved in Implementing a Data Warehouse
Quality Score
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Overall Score : 84 / 100












