Data Governance Beyond the Data Warehouse: Fivetran + CastorDoc
Info
What if you could trace data lineage not just within the data warehouse but right back to the data sources themselves? This extended visibility into the data journey is key for organizations looking to strengthen their data governance framework. Our discussion will delve into how pushing the boundaries of traditional data lineage can improve security, build trust, and enable a deeper understanding of data.
In Partnership with
Tristan Mayer
Co-Founder and CEO @ Castor
Build a lean & discoverable data stack powered by a modern data catalog
Data Discovery
Find the data you need, when you need it. Easily search for assets and discover how your all your data fits together and into the bigger picture.
Data Catalog
The modern data catalog with all the bells and whistles. Automate documentation by integrating with your entire data stack and ingesting your metadata within minutes.
Data Lineage
Easily access column lineage across all your tools. See the high level overview of your pipelines to build trust and view how changes affect downstream assets.
Data Governance
Keep your data stack lean by optimizing for performance and costs, while maintaining compliance and security across all your data.
Documentation is a painful process, we thus think it should be crowdsourced as much as possible, just like Wikipedia."
Employees, more than half of the company, uses CastorDoc on a monthly basis.
I could not imagine reducing the number of questions we got from stakeholders was possible before we had a data catalog"
increase in team productivity with CastorDoc
I can give CastorDoc to anyone in the company and I know that they won’t ask any questions."
decrease in data-related slack pings to the data team thanks to CastorDoc
Get in Touch to Learn More
“[I like] The easy to use interface and the speed of finding the relevant assets that you're looking for in your database. I also really enjoy the score given to each table, [which] lets you prioritize the results of your queries by how often certain data is used.” - Michal P., Head of Data
