Data Modeling Basics | #Tableau Course #32

In this video, you will learn about the importance of data modeling in business intelligence and analytics.
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⏱️ Timestamp
0:00 What is Data Modeling
01:13 Data Model Types
02:55 Analytical Data Models
04:30 Star Schema

#tableau #data #analytics #datascience
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**All opinions or statements in this video are my own and do not reflect the opinion of the company I work for or have ever worked for**

[DataWithBaraa]

⏱ TIMESTAMPS ⏱

00:00 What is Data Modeling
01:13 Data Model Types
02:55 Analytical Data Models
04:30 Star Schema
Enjoy :)

[DataWithBaraa]

⏱ TIMESTAMPS ⏱

00:00 What is Data Modeling
01:13 Data Model Types
02:55 Analytical Data Models
04:30 Star Schema
Enjoy :)

[shahzaibaqeel]

You Really Deserve more Subscribers, Really good Way of Explaining with clear voice and without any exhausting

[gurleenkaur]

I just found your channel and this channel needs to be featured. So helpful and excellent explanations. Thankyou so much.

[mochamadsyahrizal]

I always learn something new from your videos. Keep up the great work!

[equiwave]

This is an excellent video about the basics of Data Modeling.
BTW you have a new subscriber.
Truly appreciate your efforts!!!

[abimaelesauaguilarvalerian]

Hello Baraa!!!

One question. Do you know if Tableau allows to import the relational model as i design in SQL? Or this relation model has to do manually obligatory?

You have really really nice videos!!!

[MinhDuc]

Very helpul and easy to understanding. Thanks Baraa <3

[abcinwow]

Hi thank you for your video

In one very large data set
Is it better to data model these data?

One table has more than 30 million lines. In this case, is it more efficient to create a tableau dashboard by creating a star schema for that data?

[Time_Traveller_Dubai]

Hi

How to apply RLS as dynamically most of the time this question is being asked please make a video on it

[samkhan]

Nice, please upload all the vedios soon

[codewithnitesh]

Please could you bring videos on Power BI

[sulashidayat]

in section 5: combining data, how to do it if we have two or more FACTs data. e.g. our big projects is fertilizer industry, we have 3 FACT data: import-export commodity trade, Fertilizer production each company in each country, crop yield of agriculture product in Indonesia. How to deal with that?


e.g 2: we want to build complete executive dashboard, covering sales performance, HR dashboard, supply chain dashboard, and plant operation dashboard. all that dashboard require differents facts. how to do that