Hadoop replicates data in three different nodes, so we need to lose 2 nodes before we start to worry about data loss. He said we need to lose 3 data nodes.:)
Not much on data lake, more of a talk about S3 features for what it’s intended for, data storage. Actual data analysis and reporting is done with other AWS services.
![AWS re:Invent 2021 - Best practices of advanced serverless developers [REPEAT]](http://i.ytimg.com/vi/dnFm6MlPnco/mqdefault.jpg)
This is very eye opening. I used AWS for several years and never thought S3 could serve such purpose. this is fantastic!
We're glad to see you enjoyed it, Jamiu! 👀 ^SA
This was super duper amazingly wonderful to watch !
Thank you 😀 👍
This video clearly explains about the storage-s3. Very good video to learn about s3
This is a very helpful intro into days lake design with S3. Thank you
This is very helpful. Thanks very much
Thank you for this, this was very helpful
Ijiibjj😅jiiiihbiijiiiiijiibijiiiiiiii
What an awesome video!
Hadoop replicates data in three different nodes, so we need to lose 2 nodes before we start to worry about data loss. He said we need to lose 3 data nodes.:)
Good catch
24:24
We had 200gb of data in MS OLAP in 2008 coming out of terabyte ERP system. Not sure where getting his numbers from. 9:46
Not much on data lake, more of a talk about S3 features for what it’s intended for, data storage. Actual data analysis and reporting is done with other AWS services.
True that. To that extent a little disappointing. Datalake != s3