
Learn how to create a data model to make really flexible reports in Excel or any other data driven application.
Get to know what dimensional modeling is.
A dimensional model has facts and dimensions to build a star model.
Sometimes you want to hold on to the past. This video explains how you can do that.
This slowly changing dimension type overwrites data. This video explains when to use it.
This slowly changing dimension type adds an additional record to a dimension table to keep track of the past. This is the most commonly used SCD
This slowly changing dimension can only hold the past for one change. If there is a new change any past change will be discarded. I do not reccomend this SCD type for several reasons.
The date dimension is very important as every report needs a time scale. It is a 'normal dimension', but with specific properties.
The why? dimension explained.
When things get very very big
Sometimes you need to split off some data from a dimension
When you get a lot of empty fields, use this dimension
Always follow this step by step design to get the best results in building a star model.
First step: look at your company
Second step, get the fact table right
Thrid step. Build the dimension tables.
Fourth step. Find all the measurements
Fith step. Look at your dimensions and implement history
Step 6. Fine tune and think of all the other stuff that needs to be done to finish your project.
How to get data into your model
An example of creating a real ETL process with free software.
This example shows you the implementation of a dimensional model in a SQL Server database. The processing is done by SQL Server Analysis Services and the reporting in Excel, using only pivot tables.
The Excel part works in both Excel 2010 and Excel 2013.
In this example we implemented our dimensional model in a regular SQL Server database and use Excel Power Pivot to create a report. We have an Access database as an alternative to SQL Server to make it easier to test.
You can doenload the example Access database to give it a try.
Thank you very much for taking this course. Please use the Udemy comments system to ask any question and I will try to anwser them as soon as possible.
Do you analyze data? Are you creating reports? Pivot Tables? Or Dashboards?
This course teaches you how you can create the right data models for analytics and get results fast.
With the multiple table option in Excel Power Pivot and Power BI this method is more important than ever!
You will learn how to create a model for Power BI and Power Pivot tables with more than one table. If you look at the Microsoft Examples you will see dimCustomer and factSales. This course will teach you what that is and how to create it.
You will learn a six step method that you can use for any project to get your model for Power Pivot and multi table pivot tables right.
Make your work easier and impress co-workers with better data models to analyze your data and get more flexible results faster and even more accurate. Learn what fact tables and dimension tables are and how to use them within the star schema. Three words already to impress your co-workers.
This course will teach you how to design a dimensional model according to the Kimball guidelines of creating start models for analyzing data. This model has been around for a very long time to create datawarehouses, but now you can use this for Excel Power Pivot. If you use this model for the structure of your tables, Power Pivot will give you great, flexible results.
At the end of this course you will know how to design and implement the model, fill it and use it. There are three demos in this course that show you how you can put the model to work and how to fill it.
Enroll in this course now to learn how to create the right models for Excel Power Pivot, Pivot Tables (using the multi table option) or any data warehouse solution and get that report done!