In Part 2 of our data mesh series, we explore the essential capabilities needed to make domain-oriented data work in practice — and how AprioriDB is building the missing foundation.
Data Mesh promised to liberate domain teams from centralized bottlenecks. But six years later, implementation walls persist. Part 1 reveals the crucial missing piece.
Fixing data often means rebuilding everything. What if we had real undo – not just for the last step, but for any past mistake? It's time for forgiving data infrastructure.
Delta Lake & Iceberg offer read-only, expiring history snapshots. Real data control needs semantic versioning and bitemporality to fix the past and keep it forever.
Why do ETL pipelines constantly redo work? Part 1 of a series exploring the root causes of waste in modern data processing.
dbt looks declarative. But under the hood, it’s an imperative DAG of side-effecting SQL. That breaks correctness, velocity, and reproducibility. Learn why this matters and how a better foundation can fix it.