Since learning all these techs and concepts are so crucial, I want to appreciate the time you spend on making these topics so much easier to understand. Thank you so much.
Thank you for making these. It is just at the right level of detail. I’m never going to code but at least now I can communicate with my sw engineers better.
Luv - except for the virtualise layer of the data fabric which saves copying of massive data from one persistence store to other all other features can be achieved through Cloud native DB's too or Snowflake or Databricks . Am I missing something ??
The teaching tool being used it really interesting!! : -) How does the instructor still write from left to right and then be able to move the text as well?
Lots of challenges in data fabric the main one being data quality, vendor lock in and resolving conflicts in metric definition in various data sources. You can't solve these problems upstream.
Interesting. I miss the explanation what a data fabric really is. I miss information about virtualisation, how the fabric makes the data from disparate source systems available, what the data fabric provides in terms of functionality, what the pros and cons of data fabric are, when you use a data fabric for what kind of requirements. The good news is, that there is room for more videos 😊
Don’t let this guy confuse you. When anyone defines a Data Fabric by starting with a complaint about all the other terms out there it means they don’t know what they’re talking about. And 5 minutes in , when he started talking about virtualization … I knew. He was explaining what HE wanted the Fabric to be .. not what the market is settling on. Disliked because he’s making it hard for everyone else;
Dear Sir/Madam I am Mr Sonal Pradip Shukla From Pune Maharashtra ,I have applied for a job . I have knowledge about Computer Hardware and Networking . My Qualification is BE in Information Technology & Diploma In Computer Engineering . Currently I have experience in computer hardware and networking in technical support & software field in Java , Postgresql , and Python and I have completed a course of Full Stack Web Developer . I hope I get a chance to serve here. I am Physically Handicap Person Can you help me ?
I don't see any significant differences or anything net new between this 'data fabric' concept and the data best practices people have been doing for decades. Just a fancy new bottle that holds old liquor.
Your video is all over the place. You basically started explaining some terminologies and then some problem domains. But your did not provide a clear solution to the Data Fabric concept. Lets say I want to cross query data between AWS Redshift, Snowflake, Terradata and a MySQL DB. What product from IBM allows me to write single unified query to pull aggregation across all those DBs?
WRONG - I don't want offers that are relevant. I don't want ANY offers, of any kind - period. (10:06). Since you have my data in multiple silos, and your MDM is ineffective, you can't truly process my communication preferences.
Since learning all these techs and concepts are so crucial, I want to appreciate the time you spend on making these topics so much easier to understand. Thank you so much.
This is an excellent vendor-neutral video that explains the data fwbric architecture, all in one place. Great job.
One of the best videos out there luv
Thank you for making these. It is just at the right level of detail. I’m never going to code but at least now I can communicate with my sw engineers better.
Love this concept of teaching from the front. Why should letters need a background board, when concepts transparently can stand on their own.
You covered a lot of pain points with this video. Good work.
What is virtualization of data layer? As opposed to “copying” data? Just an access layer?
Luv - except for the virtualise layer of the data fabric which saves copying of massive data from one persistence store to other all other features can be achieved through Cloud native DB's too or Snowflake or Databricks . Am I missing something ??
The teaching tool being used it really interesting!! : -) How does the instructor still write from left to right and then be able to move the text as well?
See ibm.biz/write-backwards
Lots of challenges in data fabric the main one being data quality, vendor lock in and resolving conflicts in metric definition in various data sources. You can't solve these problems upstream.
Interesting. I miss the explanation what a data fabric really is. I miss information about virtualisation, how the fabric makes the data from disparate source systems available, what the data fabric provides in terms of functionality, what the pros and cons of data fabric are, when you use a data fabric for what kind of requirements. The good news is, that there is room for more videos 😊
Precisely. The commenters saying this was clear are probably a couple of colleagues 😂
Nice brief explanation
Thank you Luv.
very good explanation! thank you
This was fantastic!! Clarity!!!
Handwritten slowwwwwwwllllllllyyyyy because it’s trendy.
@@morespinach9832 watch it at 2x speed
That whiteboard is amazing
Very nice I can participate in this project.Can I learn it all?
Can you discuss DataOps as well
Fantastic Presentation Great content and great speaker
We agree, Luv is great! You can also follow him on LinkedIn: www.linkedin.com/in/aggarwalluv/details/featured/
The writing etc is nice. It’s a thing. But the video will be half the size if you just used things appearing in a slide instead of handwriting them.
Don’t let this guy confuse you. When anyone defines a Data Fabric by starting with a complaint about all the other terms out there it means they don’t know what they’re talking about. And 5 minutes in , when he started talking about virtualization … I knew. He was explaining what HE wanted the Fabric to be .. not what the market is settling on. Disliked because he’s making it hard for everyone else;
How do you write from right to left? That is more complex than data fabric 😀
Write normally and flip the image?
what a great content! thank you so much.
Tx great overview!
Great choice of clothers very robotic with the black on black and white.
Dear Sir/Madam
I am Mr Sonal Pradip Shukla From Pune Maharashtra ,I have applied for a job . I have knowledge about Computer Hardware and Networking .
My Qualification is BE in Information Technology & Diploma In Computer Engineering . Currently I have experience in computer hardware and networking
in technical support & software field in Java , Postgresql , and Python and I have completed a course of Full Stack Web Developer .
I hope I get a chance to serve here. I am Physically Handicap Person Can you help me ?
Is this guy writing in reverse? That’s impressive
We record through a pane of glass and then flip the image in post-production.
you threw a lot of concepts but didn’t explain how data fabric works? how it is different from data mesh?
Seconded...
Completely agree. I stopped the video when he said, "okay here we put MDM, and once we have that".....ONCE WE HAVE THAT!!!
He did not throw in any concepts, just buzz words.
Gbu
I don't see any significant differences or anything net new between this 'data fabric' concept and the data best practices people have been doing for decades. Just a fancy new bottle that holds old liquor.
Your video is all over the place. You basically started explaining some terminologies and then some problem domains. But your did not provide a clear solution to the Data Fabric concept. Lets say I want to cross query data between AWS Redshift, Snowflake, Terradata and a MySQL DB. What product from IBM allows me to write single unified query to pull aggregation across all those DBs?
Not sure whether there is actually more behind the "data fabric" idea than just a collection of buzz words.
Great explanation but bad handwriting. Could have expanded/explained some not-so-common abbreviations.
WRONG - I don't want offers that are relevant. I don't want ANY offers, of any kind - period. (10:06). Since you have my data in multiple silos, and your MDM is ineffective, you can't truly process my communication preferences.