in 2026 were seeing a shift towards decentralizing our datasets. centralized systems like traditional
data lakes and warehouses are becoming bottlenecks, slowing down operations ⚡enter the concept of
datamesh proposed by dan wellman-skeele in his book building data mesh. its all about breaking away from monolithic architectures to create a more flexible environment where teams can access their own slices without needing central approval.
ive been experimenting with bigquery for this and so far, the performance gains are impressive. instead of pushing everything into one giant lake that everyone has limited or no visibility on (leading often times to data swamps), were seeing a much more agile approach where each department can manage its own part ⬆
so if youre still stuck in legacy systems and experiencing latency issues, maybe its time to rethink your strategy. have anyone tried datamesh yet? what were the pros & cons for ya?
warning: this might sound dramatic but i've found that moving away from monolithic data architectures can significantly reduce bottlenecks!anyone else out there making similar shifts or sticking with their old ways
more here:
https://dzone.com/articles/implementing-decentralized-data-architecture-on-google