Datalake can contain unstructured, semistructured, and structured all kinds of data. purpose of datalake is to store raw data for various downstream teams. Whereas Data warehouse is for structured data only. It is a read-heavy system for analytical needs. ETL: is used where source data is not bulky and transformation logic is clear for a specific purpose, Only the transformed data needs to be loaded in the target system, enhanced security etc. ELT: is used where a huge volume of data is being processed, and multiple transformation logics will be applied to the raw data by multiple teams, in case of real-time analytics etc. Many to many relationships can be handled by introducing a bridge table between the tables. The bridge table will have 1:M relationship with the other tables.
@josephcarlodavid43555 ай бұрын
Great example and shared insights! Very helpful!
@mounikadonthaАй бұрын
Your explanation was so easy to understand like a friend explaining before exam!!!! Please make more videos.. Thank youuuuuu!!
@andreasahrlund-richter22895 ай бұрын
Thank you for the nice short summary and your insights Pritha.
@sohammajumder4379 Жыл бұрын
not completely agree with the first difference you explained for ETL vs ELT, both can be used to load data warehouse or data lake, however, the decision on which one should be used is based upon the infrastructure requirement, in ELT you can leverage the power of your target data base for load as well as transformation but in case of ETL you must provision a third server/ compute machine only for the transformation purpose. Happy to read if you have any other view on it..!!
@sandyjust6 ай бұрын
I agree with you.
@Sheikh_Nazimuddin28 күн бұрын
correct
@HarshKumar-pw6kg4 ай бұрын
Please put more videos like this, it is very helpful for student like us. Thanks :)
@AnuragSingh-uq1br9 ай бұрын
I love your gestures
@user-ep3qz2jx5h10 ай бұрын
very good explanation
@subhadeepbanerjee3723 Жыл бұрын
Really helpful!
@roymou58563 ай бұрын
very helpful, thanks a lot
@rupaghosh6251Ай бұрын
Nice explanation
@A4Abhinav2 ай бұрын
Good one ❤
@saikumargudelli4 ай бұрын
You are a good tutor and a request, why don't you post some tutorials on data modelling that would be helpful. Thank you for this video it is very helpful.
@chpavankumar80404 ай бұрын
bane extralu ,,,,,,,
@user-gf1wz4ty1t4 ай бұрын
very nice
@shrikantjoshi31744 ай бұрын
Nicely explained. Thank you. Please keep it up!
@musadiqhussain78406 ай бұрын
Can you please tell about the reverse engineering for XML or Oracle DB?
@theWebNet5 ай бұрын
Can you please post more videos on data modeling. Thanks
@chetankakkireni88709 ай бұрын
I can see explanations of 2 questions( i.e., Data Warehouse vs Data Lake and ELT VS ETL) , what is the 3rd data modeling question ?
@ankitsrivastava675620 күн бұрын
Nivea body lotion 🧴
@user-dx2dg4bd7q Жыл бұрын
Could you please explain the differences between different data models(Inmon,Kimball,3NF,Dimension Modelling,Data Vault).
@prithachakraborty60233 ай бұрын
Sure. In my next tutorial.
@chetanakarte64499 ай бұрын
Could you please explain in detail, how to resolve many to many relationships? (I didn't get in this vodeo)
@Ram_jagat4 ай бұрын
We solve many to many relationships by creating a bridge/ linked table which act as intermediate table between other tables.
@prithachakraborty60233 ай бұрын
Sure. Will explain in my next tutorial.
@surajagasti23093 ай бұрын
Haeyy
@murchhanabanerjee8624 ай бұрын
Awesome video পৃথা দি, প্লীজ ডেটা মডেল এর আরো use case video বানান
@A4Abhinav2 ай бұрын
How to connect with you?
@prithachakraborty60232 ай бұрын
Mail me at tina.pritha@gmail.com. I will share my number over mail.
@petebell2712 ай бұрын
"basically" became Data Redundant .... try to use less.....
@SujeethMaroli--BOSCH3 ай бұрын
no clear explanation. She might be fresher.
@prithachakraborty60233 ай бұрын
Well a Googler and professional data modelling trainer at Please check my linked page for my experiences. It will be really good if you post your questions and ask what exactly you are looking for.
@arpitkapoor2271Ай бұрын
I don’t feel that explanation was not clear TBH. But ma’am don’t you think that these questions are very simple? Is this truly the level of interviews?