
July 13, 2026
Azure Data Lineage That Doesn’t Stop at the Azure Boundary
Azure data lineage shouldn’t stop at the Microsoft edge. See how DataHub adds column-level depth and unifies it across your whole stack.

July 10, 2026
Data Lineage in ETL: What It Takes to Be Useful in Production
Lineage in ETL only works when it meets three conditions: column-level, cross-platform, and captured at runtime. Here’s why.

July 10, 2026
Data Lineage vs. Data Observability: How They Differ and Why You Need Both
Data lineage vs. data observability: what each does, where they overlap, and why running both on the same graph collapses the comparison.

July 10, 2026
Databricks Data Lineage: From Unity Catalog to Your Entire Stack
Databricks data lineage is automatic within Unity Catalog. See how to extend it across your entire stack, without replacing UC.

July 8, 2026
BigQuery Data Lineage: From the Google Cloud Console to Your Entire Stack
BigQuery data lineage is scoped to Google Cloud by design. See how to trace it cross-platform for impact analysis, AI agents, and cost.

July 8, 2026
AWS Data Lineage: From Native Capture to Your Entire Stack
AWS data lineage is captured service by service. See how to unify it across your whole stack, without replacing native AWS tooling.

July 6, 2026
Data Pipeline Lineage: Seeing Inside Your Pipelines, Not Just Around ThemData Pipeline Lineage
Data pipeline lineage shows what happens inside your pipelines, not just which tables they touched. Here’s how DataHub models it.

July 6, 2026
No-Code Automation for Metadata Enrichment: How Modern Catalogs Stay Current at Scale
No-code automation for metadata enrichment fixes the math problem of manual documentation. How it works, governed, at scale.

June 29, 2026
BCBS 239 Data Lineage: Why Compliance and AI Readiness Are the Same Investment
Most banks still aren’t BCBS 239 compliant. The lineage that satisfies the regulator is the same infrastructure that governs your AI.

June 29, 2026
Data Lineage vs. Data Provenance: What’s the Difference?
Data lineage tracks how data moves and transforms. Data provenance tracks where it came from and who handled it. Here’s how they differ.

June 29, 2026
Data Lineage: What It Is and Why It Matters
Data lineage tracks where data comes from, how it transforms, and where it ends up. Learn why it matters and how to implement it across your stack.

June 26, 2026
Data Lineage Mapping: Why Manual Maps Fail at the Moment You Need Them
Manual lineage maps drift between refreshes. Here’s why automated, column-level data lineage mapping is the only version that holds up.