Notes from the team.
Releases, deep dives on the OpenDPI standard, and lessons from teams shipping data products with Daco.
Why Your Data Catalog Should Live Next to Your Code
Most data catalogs feel like they were built for a sales demo, not for the people actually working with data. Here's a better way.
Read postGetting Started with the Daco CLI
Step-by-step: install the CLI, initialize a data product, and translate your schema to PySpark, dbt, and more.
Read postStandardize Your Data Definitions with OpenDPI
How standardizing data descriptions enables migrations, automation, and team collaboration at scale.
Read postDaco CLI Changelog: v0.2.1
v0.2.1 adds product versioning, upgrade commands, and new translators for DQX YAML and Markdown.
Read postOpenDPI: A Standard for Data Product Interfaces
An open standard for describing and documenting data product interfaces — and why your team needs one.
Read postDaco CLI Changelog: v0.2.0
The first public release of Daco CLI: schema translation to 12+ formats, connection management, and project scaffolding.
Read postWelcome to Daco
A new standard for data teams to align on definitions and ship data products faster, without rewriting their stack.
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