Interestingly enough, companies with sensitive government contracts can't even deploy to the cloud. They have to keep everything in house.
And from what I understand, it's cheaper.
๐ฏ This. Your company's massive centralised Data Warehouse or Big Data solution might have seemed like a great idea 15 years ago (๐๐ถ๐ด๐ต ๐ค๐ฐ๐ฑ๐บ ๐ข๐ญ๐ญ ๐ต๐ฉ๐ฆ ๐ฅ๐ข๐ต๐ข ๐ด๐ฐ๐ฎ๐ฆ๐ธ๐ฉ๐ฆ๐ณ๐ฆ ๐ง๐ฐ๐ณ ๐ฆ๐ข๐ด๐บ ๐ฒ๐ถ๐ฆ๐ณ๐บ๐ช๐ฏ๐จ, ๐ธ๐ฉ๐บ ๐ฏ๐ฐ๐ต?). Now, itโs an expensive mess dragging you down.
Find the boundaries. Build lean, purpose-specific data lakehouse solutions with clearly mapped ownership. Establish proper contracts between boundaries. Apply DDD concepts to your data.
Welcome to 2025!
via Vaughn Vernon
https://mastodon.social/@VaughnVernon/114007696847882672
#Data #DDD
-
@anthony@accioly.social ๐ https://accioly.social/users/anthony/statuses/114008008914545934
Interestingly enough, companies with sensitive government contracts can't even deploy to the cloud. They have to keep everything in house.
And from what I understand, it's cheaper.
Nothing against on-prem. Plenty of pramatic ways to leverage data mesh architecture at scale localy. Same for internal clouds. And yes, at certain scale it can be much, much cheaper if built and managed diligently. Also much safer, at least until one of the interns at DOGE get access to your ๐คฃ.