Power BI Data Modeling (English)

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Power BI Data Modeling (English)

Wortell Smart Learning B.V.
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Startdata en plaatsen

placeUtrecht
30 nov. 2023
Toon rooster
event 30 november 2023, 09:00-16:30, - , Power BI Data Modeling (English) (EN) day 1

Beschrijving

Description

In this training we get started with modeling data ourselves a Dimensional Model (also known as "star model"). By splitting your data into facts and dimensions, a clear model is created that matches your business processes. This allows you to easily answer a wide variety of questions. Dimensional Modeling is a standard technique for many Business Intelligence and Analytics solutions. It is also a best practice for newer data analysis tools such as Power BI to model data via star schemas.

In this training we will work a lot with modeling data ourselves. We practice good modeling on the basis of practical cases. This ensures that you do not lose valuable time in your daily analysis…

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Nog niet gevonden wat je zocht? Bekijk deze onderwerpen: Power BI, Business intelligence, Splunk, Microsoft Power Platform en Data Analyse.

Description

In this training we get started with modeling data ourselves a Dimensional Model (also known as "star model"). By splitting your data into facts and dimensions, a clear model is created that matches your business processes. This allows you to easily answer a wide variety of questions. Dimensional Modeling is a standard technique for many Business Intelligence and Analytics solutions. It is also a best practice for newer data analysis tools such as Power BI to model data via star schemas.

In this training we will work a lot with modeling data ourselves. We practice good modeling on the basis of practical cases. This ensures that you do not lose valuable time in your daily analysis work due to incorrect modeling choices.

Audience

The Power BI Data Modeling training is suitable for designers, developers and analysts who have to do data analysis themselves. This basic training focuses on the use of dimensional models in BI tools and Data Marts.

Do you already create Dimensional Models yourself, but are you looking for more advanced solutions and best practices? Then take a look at our Dimensional Modeling (Advanced) training

Skills gained

With many assignments and exercises you will get the hang of modeling well. In three days you will become adept at making star schemes. This helps you in your data analysis and reporting.

At the end of this training:

  • Do you know the difference between facts and dimensions
  • Can you design a dimensional model based on reporting requirements
  • Do you know from various cases how the Dimensional Model can be applied

Prerequisites to follow the Power BI Data Modeling training

To be able to follow the Power BI Data Modeling training, it is important that participants work with data themselves. When this prior knowledge is not available, it can be very helpful to take an introductory data course, such as Azure Data Fundamentals .

Prior knowledge of a specific reporting tool, analysis tool or database is not required: Dimensional Modeling can be applied in SQL databases, Power BI, and many other tools.

Course outline

In the "Power BI Data Modeling" training we cover the following topics:

  • Introduction to Dimensional Modeling
    • Facts
    • Dimensions
    • Recognize the business process
  • Practice with a first dimensional model
  • The modeling process
    • Best & Bad Practices
    • 4 steps to a Dimensional Model
    • The Bus Matrix
    • Special dimensions
  • Practice with a more complex business process
  • Handle date and time
  • Customer and product dimensions

Course material

In the Power BI Data Modeling training we use material that we have developed ourselves at Wortell Smart Learning. We make sure that you receive all the necessary material on time.

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Deel je ervaring

Heb je ervaring met deze cursus? Deel je ervaring en help anderen kiezen. Als dank voor de moeite doneert Springest € 1,- aan Stichting Edukans.

Er zijn nog geen veelgestelde vragen over dit product. Als je een vraag hebt, neem dan contact op met onze klantenservice.

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