Types of Databases: Relational vs. Columnar vs. Document vs. Graph vs. Vector vs. Key-value & more
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- เผยแพร่เมื่อ 31 พ.ค. 2024
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▬▬▬▬▬▬▬ Timestamps ⏰ ▬▬▬▬▬▬▬
0:00 Intro
0:25 Relational Database
3:12 Columnar Database
6:28 Document Database
10:53 Graph Database
13:31 Vector Database
14:40 Key-value Database
16:51 Time-series Database
17:44 Outro
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#database #cloud #devops - วิทยาศาสตร์และเทคโนโลยี
🔴 - To support my channel, I’d like to offer Mentorship/On-the-Job Support/Consulting - me@antonputra.com
The most important video i have seen about this topic 🎉❤
thanks!
Super good for understanding the differnces, crystal-clear, thank you!
thanks!
One of the best video to understand Types of Databases. Excellent work 👍
thank you!!
Your clarity is exceptional
Amazing video on the topic! Very clear and concise
thank you!
THANK YOU for a great video!
❤️
Absolute perfect level of detail that I was looking for. Love this video, thank you so much!
thanks!
What a great video!
thanks!
Thank you for sharing this great video!
Its a GREAT video that explains all clearly, simple and with examples!
thank you!
Very nice summary. Thanks, Anton!
thanks, Ashok!
Thank you for your detailed explanation. Hats off!
thank you!
Thank you for this amazing content.
Super nice summary for beginners. Im just learning about noSQL and this is a great start to the idea of it!
thank you!!
love it 👌
impressive work
what did you use for slides/presentation? This is top notch.
I'm doing a talk tomorrow and this was helpful in reminding me of good info to mention.
Great comparison of relational vs columnar and I really like document and key-value store parts too, the only thing is 18min is a bit long, otherwise perfect!
thanks! noted!
Thank you Anton for the great video!
Is it worth to mention Redis and Memcached as examples of key value databases?
Redis tries to be everything nowadays, lol
Hi, Anton! Can you please share some resources on how to scale ML workloads in GKE? Some tricks that you may know, time sharing vs multi-instance GPU?
In other words, how do we get most out of the compute without running into OOM issues
Thank you!
It really depends on the framework you're using to run ML, such as Spark, Airflow, etc. I don't really have general advice on this topic.
HI Anton, congratulations for the video. I am also interested in the software used for the animated infographics. Thanks in advance.
thanks, adobe suite
Could you please make a video on Wide column vs column family vs columnar vs column oriented DBs. Please include some examples/usecases/scenarios also
can you give me some examples of databases?
Great video indeed. May be you could also add a section with multi-purpose database(s) like SurrealDB ;-)
thanks :)
Sir this is a great video i wonder if it would be possibel to scedule a meeting with you in discord or smth bc i really would like to talk about this in the context of my project.
thanks, i'm travelling right now, you can send me an email and I'll try to help
The column oriented explanation is wrong. Cassandra does not store dsta in colums. It still stores in rows, but how does it read data row by row, but each row has key value pairs whcih are colums. Where it van jump to a required columns.
Cassandra is column family DB, not a column oriented DB.
I'll soon make a video specifically about columnar databases, including a hands-on tutorial.