Very intuitive way to explaining things. it will help data people to remember this by the shop example. teaching by example is the only way to teach effectively.
Thank you for the video! I’d like to also put forward document-based db’s like MongoDB as as a sweet spot between traditional RDBMS and NoSQL db’s (like the wide-column store you described in the denormalized scenario). Mongo data models are typically more denormalized than not, and it can ingest millions of writes/sec without issue
Very nice explanation. Really interesting facts and explanation . Easy to understand and remember. You really make IT interesting as you say. This is not only for this - rather for all your videos . Thanks a lot for spreading knowledge .
Is Normalized = better write performance De-Normalized = better read performance always true or a rule of thumb? So, I have been exploring efficiency increases in normalizing sometimes due to better indexing performance. Is it possible to actually increase read efficiency by normalizing and allowing better indexing?
sir meinay ek banday ka mobaile apnay wifi say connect kia hay ab wo appna mobaile hotspot on kar kay dosro ko internet deta hay .mein cahta hon wo net istemal karay leken hotspot kam nakaray. is ka koye settings ho to mera help karay. mehrobani hoge
I may not have money to donate but I will not skip ads for every video i watch in your channel. Great video! 😊
Thanks Marky that means a lot man thankyou 🙏🙏☺️
Very intuitive way to explaining things. it will help data people to remember this by the shop example. teaching by example is the only way to teach effectively.
Nice Explanantion i have learnt about DATA ENGINEERING by watching your videos, I truly appreciate your work...Keep Making Videos!!!!!
Awesome video
great video thank you
nice explanation sir...
Thank you for this clear explanation.
Thanks
Thank you for this video. Simple and Easy to follow!
Superb🙏
Thank you for the video! I’d like to also put forward document-based db’s like MongoDB as as a sweet spot between traditional RDBMS and NoSQL db’s (like the wide-column store you described in the denormalized scenario). Mongo data models are typically more denormalized than not, and it can ingest millions of writes/sec without issue
Until you have to ingest all that deeply nested crap into a relational database
Thank you man! It was a helpful video for my coming interview! Subscribed + Liked! 🤙🏼
very well explained man
well explained Sir..Thank you..
thanks
Great video 🤙🏽
Nice Explain Sir, Thank You
Thank you buddy ..... 😊
Brilliantly explained
Thanks 😊
finished watching
👌👌👌
New fan. I like your style.
Thanks Sidney
Great video!!
❤❤❤❤❤
Very nice explanation. Really interesting facts and explanation . Easy to understand and remember. You really make IT interesting as you say. This is not only for this - rather for all your videos . Thanks a lot for spreading knowledge .
thannks man
nice
👏👏👏
Great video I’ve been watching for a while and I’ve learnt so much thanks a lot your a amazing teacher never stop
Is Normalized = better write performance
De-Normalized = better read performance
always true or a rule of thumb?
So, I have been exploring efficiency increases in normalizing sometimes due to better indexing performance. Is it possible to actually increase read efficiency by normalizing and allowing better indexing?
AMAZON DB2 --- Best example for DENORMALIZATION Data
Sir, why is write easy in a Normalized DB? Any example, pls? Thanks for your video. 🙏
Read this 👉 link.medium.com/K7ivyOiTsxb
Can we say Denormalization process is followed by normalization ? Instea of which is better
sir meinay ek banday ka mobaile apnay wifi say connect kia hay ab wo appna mobaile hotspot on kar kay dosro ko internet deta hay .mein cahta hon wo net istemal karay leken hotspot kam nakaray. is ka koye settings ho to mera help karay. mehrobani hoge
Topic starts from 1:28
Can you pls explain SDWAN concepr
thanks for suggestion
Video starts at @1:08
Good stuff for beginners, obviously every aspect could not be covered in a limited timeframe.