Conceptual, Logical & Physical Data Models

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[@castillog8026]

The best explanation to someone that is just starting off in DBMS. Great job on explaining this in detail!

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Thanks George! Your comments are very encouraging :)

[@anon12416]

I agree, thank you so much!!!

[@kc-riyasangle4230]

q​@@anon12416

[@ravitejapremium259]

this is the best DATA MODELLING TUTORIAL i have ever watched. What an explanation good job sir.

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Thank you Raviteja for your encouraging comments ! Please do subscribe.

[@logreene4382]

One hundred percent more thorough and engaging than a textbook. Thank you my friend!

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[@jordanmcquade230]

The best explanation of the 3 stages of a data model that I have seen anywhere. Definitely worth a watch. I've just revisited as a refresher now that I'm working in master data management. Thank you for the great video.

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Thank you for your encouraging comments Jordan. I am glad you found it useful. Do subscribe to the channel.

[@zishanafzal6671]

best video available on youtube for understanding Data modeling.

[@nikovandh]

Wow, great video. I tried to read about data models and was 100% lost. Now I 100% understand after watching this video.

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Happy to hear that Nicholas :) . Please do subscribe to get notified of new videos. Cheers !

[@dakshpatel6565]

Just started my way off with DBMS, being a Mechanical Engineer after going through this, I feel I am in this field since years! Great lesson😌

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Thank you for your comments Daksh! Happy Learning :)

[@alipbarua3396]

The best tutorial for data modelling. I have interview ahead and this video is really helpful.

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[@amitray6614]

Great video, just the right depth of coverage, optimum length to keep the viewer engaged. Thanks for taking the effort to prepare and share this. 👍

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[@joankwamboka700]

O Goodness! This is the clearest explanation I have come across. I think this will stick as well.

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[@jayakumari9109]

Hats off to you...you made it so easy to understand...i used to have very confusion between conceptual and logical data model...but your explanation cleared all my confusion... Thanks a lot..

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[@TimandTilly]

Thank you for explaining this! It makes soooo much sense from your POV. My University did not make our weekly lecture notes this simple to understand. Again, thanks dude

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[@juliocamacho7052]

Thank you for such a clear and accurate explanation of the different database modeling stages

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[@boringgamerboi3538]

Your teaching is clearer than my lecturer , thanks alot man

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Glad to hear that

[@lalbihariprajapati9454]

Just a great video for beginner who want to understand the data model. Thanks for such short but very useful concepts

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[@BoxerDogs]

This was explained and presented very well. Extremely helpful. Thank you for creating this video. I took some practice tests for the Microsoft Database Fundamentals Exam (98-364). Now I feel like I really understand the parts that I needed to work on.

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Glad it helped! Please do subscribe !

[@vinnu236]

Great and simple explanation sir. It saves lot of time from reading theory sometimes

[@reneeb5585]

Thank you for such a great explanation with visual examples. This helped me greatly.

[@DataAcademyIN]

Thank you Renee, for your encouraging comments. In case you found any issues with the audio of this clip, there is a version with improved audio, here --> kzbin.info/www/bejne/mYqaiI2Pnd52adE Please do subscribe in case you haven't. Thanks !

[@teetotee]

So here's what I understand, I wanna know if it's correct please: Conceptual data models are like the general overview of how the actual data model should look like, like a sketch for a painting or an architecture. Logical data models are idk, more complex? They basically have key and non-key attributes to the entities now and primary and foreign keys can be used. It's still easy to understand, but is harder to update because it's more complex. Physical's simply like, full-fledged. Entities are called tables, attributes columns, it's even harder to understand and really difficult to change.

[@DataAcademyIN]

Yes, that is a pretty good summary. I am compelled to add just one additional detail to your explanation. The physical data model, apart from being full fledged, is specific to a database, like Oracle or Postgres or SQL Server etc.

[@pratyushraizada1472]

As an analytics engineer, having realised the downstream cost of a bad data model design, I can totally understand the need for having a structured approach. Thanks for the video.

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That is very well said Pratyush. I am glad you realize the importance of a Data Model well executed. Please do subscribe !

[@pratyushraizada1472]

@@DataAcademyIN Done already, keep spreading the knowledge :D

[@hamsal_khaldi7851]

This 13 min video explains one hour lecture. Thank you

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:) Thank you for your sincere comments !

[@Kadiar]

Best explanation I’ve ever seen for DBMS

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[@SathishKumar-u8h]

Best video for understanding the types data modelling.

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[@saikiranp.r6966]

Hands down the best Video out there.

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Much thanks SaiKiran :)

[@muhwezifrancis414]

thanks because it brings clear description from start to end.

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[@karunaanugo5572]

Really good one for beginners to understand easily

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[@ankushpatil1114]

This was very detailed yet very simple explanation. Thanks a lot Sir.

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[@OladipoFamily]

This explanation is the best. so easy to comprehend...kudos

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[@raghavendrareddy7370]

Thanks a lot going for an interview tomorrow this explanation saves me lot time in understanding 😆👍🏻

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[@ChilaKasonde]

Just wanted to thank you my Lecturer did a terrible job explaining these to me , i now have a clear picture of all 3 models thank you

[@DataAcademyIN]

Words can't describe how encouraged I feel to hear such comments. Thanks for watching. Do subscribe!

[@ChilaKasonde]

@@DataAcademyIN ive subscribed keep up the great work, do you have any material on Relational Algebra?

[@DataAcademyIN]

@@ChilaKasonde I am not an expert on this topic, but it doesn't seem very different from SQL queries on a database. Allow me some time to get back to you with more details.

[@ChilaKasonde]

@@DataAcademyIN thanks will be waiting i think it would be a good video as no one has covered it from what I've seen

[@nitagawade3330]

Big Thank you Sir for such wonderful explaination!!! Waiting for more video with some business cases

[@ongeek9834]

Very helpful and informative, Please keep educating people. God Bless.

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Thank you for encouragement KoloHe. Appreciate it. Please do subscribe !

[@neha6221]

This is actually really good explanation.

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Thanks Gunjan !

[@akapurvis1173]

Excellent explanation. Short, sweet, and to the point while covering all the essentials to data modeling. Thx you😉

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[@jpf1950]

You did a good job here. Your diction and pacing were perfect. The diagrams were simple and complete. Thanks.

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[@nikunjmodi5214]

Very helpful. Clearly defined each and every models !!!

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Thank You Nikunj !

[@swaragupta7932]

Best explanation for these 3 models

[@omurnebierarslan8173]

Very clear explanation of the topic...really appreciate it.

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[@sravanthiakula1923]

Very well explained and all the details are clearly described. Subscribed😊

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Thank you Sravanthi :)

[@juvettemunji7984]

this is the best explanation ever. You solve my problem

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[@fabricejaouen4252]

Very simple video, but extremely clear: it helped a lot before digging into more detailed tutorials. Great work indeed.

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[@fabricejaouen4252]

@@DataAcademyIN : Of course !

[@jyothyg6653]

Thank you so much for such a wonderful explanation…. Brief and crisp!

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[@anoniem012]

Thanks finally an English titled video who is actually explained in English.. :) Very well

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[@osofhia]

Without doubt, the best tutorial, even with my experience that was refreshing!

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[@utkucansa]

you explained it in a great and plain way. Thanks.

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You're very welcome!

[@lavanyagopal.manditheater]

very simply explained and easy to understand. Thanks !!

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[@arunmehta8234]

Awesome video. Very Explanatory.

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[@TechnoDB]

Wow.. clear explanation with diagrams.

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[@seanjharrs]

Great Presentation , covers all the important points, many thanks

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[@kajalpundir2423]

Commendable explanation..please upload more videos ...of business intelligence

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Thank you Kajal. Please do Like, Share & Subscribe. I am working on content that includes end to end DWBI with real-world data. So stay tuned 😎

[@sarahahmed2112]

Very helpful, clear and detailed! Thanks a lot.

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[@rasthana]

Very useful video. Thanks for your efforts in sharing this knowledge.

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[@balasubramanianilangovan888]

I appreciate your efforts to prepare such a wonderful video!

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[@Eva.261]

Simply the BEST. Thank you!

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[@itishreenayak5984]

such a clear description, thanks

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[@abdullahalkafi5584]

Awesome 10 minutes 👍

[@sudharshanchakrapani7111]

Wonderfull explanation Sir. Thank you very much for making the video.

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Thank you for your comments Sudarshan !

[@nitagawade3330]

Big Thank you sir for such a wonderful explantion......waiting for more video wid business cases

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[@asadalisoomro8937]

very helpul and conceptual video. Thanks a lot buddy.

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Thank you Asad !

[@muhammadfaisalhyder4012]

This is really great for revision purposes 😅 short and to the point. 👍

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[@abuhamza1970]

Absolutely brilliant video. Thank you sir! 🙏

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[@Shades.of.life.by.Vandana]

very good and very well explained in clear english

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[@geraldowusuansah3673]

Well understood. Thanks for the lecture

[@jacekkangaroo4402]

It looks like I was learning different data modelling methodology 😃 1. logical model, called also Entity Relationship Diagram (ERD) represents entities and main relations between them, has usually primary keys and some main attributes as well, entity is drawn as a rectangle with rounded corners, and entity name is always singular, an entity is one instance of something, 2. physical model, called also as Data Diagram (DD) is generated from ERD also FK columns are added automatically, other columns can be added to the DD manually as well as other UK, indexes and partitions, entities are called tables, attributes are called columns, table is drawn as a rectangle with sharp corners, having a well designed DD we can generate table creation scripts so no manual work is required from developers, table name is always plural, a table is a collection of entities, 3. we should avoid adding a table name to table column names, table product should have columns description, name, short name, size... but not product_name, product_description, product_size...

[@MrAndrewjdavis]

"not product_name, product_description" - depends. If the target of the model is reporting, you would end up with 10 columns all called "name" which is confusing and you would spend ages renaming each column in the report. Much better to give them full names. The other advantage of having the table name is if it is a foreign key, you can use the target table name (with role if needed) e.g. "Product_Id,Product_Code,ProductGroup_Id" or "Customer_Party_Id, SalesRep_Party_Id"

[@jacekkangaroo4402]

@@MrAndrewjdavis yes and no :-) if you want to distinguish columns from different tables, you can use table and column aliases, it takes a bit more work but it is better in my opinion, also a column name like "Product_Name" looks ugly on the report for end users, usually it will be renamed as "Name" or "Product name" on reports, not to mention that reports may be created in other languages, what people from English-speaking countries forget often, databases are usually built in English as they are often created by international teams, while reports are created in accordance with local requirements and often have to be created in the official language of a given country

[@sohanchowdhury3416]

Very well explained.. Good way of explaining as well.. Great video 👍

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Thanks a lot 😊

[@charujain7165]

Very well explained. Thanks !!

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[@marycross5526]

Thank you so much. This was very helpful.

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Glad it was helpful!

[@radhikasrinivasa3068]

Thanks a lot!! I'm not from science background, but still could understand clearly!!

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[@KJOB]

You saved me a lot of time man, thanks

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[@nathankomer8699]

Thank you, this is a consize and easy to process introduction!

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[@aqibmehmood]

Just what I was looking for. Excellent tutorial!

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[@mounichowdary8004]

You did a great job, your explanation is too good thank you!!

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[@saumyojitdas4212]

Cleared my doubt. Excellent video.

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[@pinkldy100]

Great quick intro to the different levels. Thank you!

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[@larisamuntyan556]

excellent video! thank you very much!

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[@YasirAli-ot3uz]

Best explanation ever

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[@Juan-Hdez]

Very useful. Thank you!

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[@muhammadlukysyahir305]

Thank you very much, this video really help my work

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[@junkingjunking8477]

Nice explanation. Thank you, sir😊

[@Runtothemusic]

Excellent explanation, very easy to understand. Thank You.

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[@xudong5269]

you killed the game, my friend!

[@estebanlopez1701]

This is just brilliant, keep it up

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Thank You :)

[@suniait50189]

Very nicely explained . Superbbb :)

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Thank you Sunita :)

[@try010]

Many thanks man This helped me !

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[@digigoliath]

Clear & Concise. Great job & TQ!!

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@@DataAcademyIN You already have a new subscriber & I will be back for more!

[@richie1603]

Crystal clear explanation

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[@ruthmk]

Thanks very insightful

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[@nitinbobde3170]

Excellent video

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[@kjbiliks]

Very informative thanks

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[@Rowlands-ml3ib]

Super helpful and clearly explained! 😊

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[@parshubhai9351]

Very nice explained 😌😌 thanks for this buddy.

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[@andielambourne232]

Simply explained, however, I am still unclear regarding the Primary and Foreign keys, what they are and their purpose, you seemed to say they are exactly the same as the Key Attribute? What? Both Primary Key and Foreign Key are also Key Attribute? Why have 3 names for same thing if so?

[@DataAcademyIN]

Hello Andie. Apologies for the delay in responding. Regarding your question - Primary Key and Foreign Key are related but are not the same. A Primary Key is used to assign a column or a set of columns to be used to uniquely identify records in a table, and thus enforcing uniqueness and avoid duplicates. A Foreign Key is used to validate data to ensure that the values entered in a Foreign Key column are already present in the Primary Key of another table. Hence enforcing data integrity between them. For more detailed information, you may refer to the below link Primary Key - en.wikipedia.org/wiki/Primary_key Foreign Key - en.wikipedia.org/wiki/Foreign_key In the Video when I said Key attributes, I meant to say that what we DB professionals refer to as Primary Key & Foreign Key attributes, in the data modeling phase, we sometimes simply refer to them as Key Attributes to make it easy for a non-technical or business folks to understand. To Summarize, Primary Key and Foreign Key have a more technical meaning from a physical data model perspective, whereas a key attribute is a broad term used during the data modeling phase to refer to any kind of unique columns, primary columns or foreign keys. Hope this answers the question.

[@rhyme6300]

Very clear, thank you

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[@kalkibhavsar8208]

Very Helpful!

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[@wilmerpiedrahita8032]

Very good presentation and tips. Thanks for sharing this, it is very helpful indeed.

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[@vijayotnm]

Excellent, thank you

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[@amisam2215]

Really cool explanation!!!

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[@sarathfromsaudi]

Easy to follow style of explaining. Thanks

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Thanks Sarath!

[@zangorjanc8149]

There can be datatypes used in logical model too! And deffreance betwene logical and physcal model its just that physcal name of atributes are just more relateble to names that we will use in our DATABASE...

[@DataAcademyIN]

I agree with you that this is allowed, but I feel that it defeats the purpose of a Logical schema. A Logical schema should NOT be specific to a database. Hence, if we were to mention the Datatype, it should be a generic datatype. For example - A datatype of STRING maybe used in Logical schema, whereas in the Physical schema, this may map to either a VARCHAR or TEXT datatype (PostgreSQL Datatypes).