Cross-technology automated lineage with DataGalaxy & Snowflake

When a number looks wrong in a dashboard, the first question is where it came from. Answering it means tracing the data back through every system it crossed, and that gets slow once you have more than a couple of sources.

DataGalaxy now builds cross-technology, column-level data lineage automatically for the Snowflake cloud data platform. You can follow a single column from its source through each transformation, across Snowflake and the other tools you’ve connected to DataGalaxy.

Why you need automated column-level lineage

Lineage shows you where data comes from, what happens to it along the way, and where it ends up. Column-level means you can follow one field, say customer_id, from a source table to the report that uses it.

Automated data lineage draws that map for you. It’s what you rely on for regulatory compliance, migration planning, root cause analysis and impact analysis.

Getting there is harder than it sounds:

• Lack of visibility: If you can’t see how data moves between systems, you can’t tell where a value came from. Quality issues go unnoticed, and decisions rest on numbers nobody can explain.
• Complex integration: Data moves through many platforms, each tracking lineage its own way (or not at all). Stitching them into one view by hand is a project in itself.
• Data silos: When departments run isolated systems, data stays stuck in silos. Teams can’t share or reuse each other’s work.

What cross-technology column-level lineage gives you

To trust data, business and technical users need the same view of how it flows, how datasets relate, and whether they’re healthy. A detailed lineage view you can explore gives them that, so decisions rest on data people actually understand.

Here’s what DataGalaxy adds for Snowflake.

Uniform Resource Names (URNs)

Every object connected from Snowflake gets a unique URN, a bit like a URL for a table or a column. It works as a fingerprint: each asset can be identified and traced without ambiguity, which makes checking and adding information simpler.

Improved connectivity

New API support lets DataGalaxy connectors share information with each other, so lineage keeps going when data leaves one tool for another.

Breaking down silos

Lineage is tracked the same way across your stack, so teams share data and work from the same picture. When everyone understands how data flows, it’s easier to fix processes and agree on decisions.

Conclusion

Column-level lineage across Snowflake and the rest of your stack answers the question every data team keeps getting: where does this number come from? DataGalaxy builds it automatically, with URNs to identify each asset and connectors that pass lineage from one tool to the next.

Want to see it on your own data? Take a look at the DataGalaxy Snowflake connector or book a demo.

About the author: Max Faivre

Product Marketing Manager