๐Ÿ’ฏ This. Your company's massive centralised Data Warehouse or Big Data solution might have seemed like a great idea 15 years ago (๐˜‘๐˜ถ๐˜ด๐˜ต ๐˜ค๐˜ฐ๐˜ฑ๐˜บ ๐˜ข๐˜ญ๐˜ญ ๐˜ต๐˜ฉ๐˜ฆ ๐˜ฅ๐˜ข๐˜ต๐˜ข ๐˜ด๐˜ฐ๐˜ฎ๐˜ฆ๐˜ธ๐˜ฉ๐˜ฆ๐˜ณ๐˜ฆ ๐˜ง๐˜ฐ๐˜ณ ๐˜ฆ๐˜ข๐˜ด๐˜บ ๐˜ฒ๐˜ถ๐˜ฆ๐˜ณ๐˜บ๐˜ช๐˜ฏ๐˜จ, ๐˜ธ๐˜ฉ๐˜บ ๐˜ฏ๐˜ฐ๐˜ต?). Now, itโ€™s 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 ๐Ÿ”— https://accioly.social/users/anthony/statuses/114008008914545934

Reply to this note

Please Login to reply.

Discussion

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 ๐Ÿคฃ.