The most current matchup on Stemma v. Amundsen; how Stemma provides a friendlier experience for analysts and business users, improves productivity through lineage, and simplifies catalog setup and administration.
In part 2, Stemma's Head of Design, Dani Sandoval, continues his deep dive into the changes made to the data catalog interface to decrease frustration when debugging data issues, help data engineers establish best practices within data teams, and make discovering existing data easier for data scientists and analysts.
Stemma's Head of Design, Dani Sandoval, goes deep into the changes made to the data catalog interface to decrease frustration when debugging data issues, help data engineers establish best practices within data teams, and make discovering existing data easier for data scientists and analysts.
Stemma releases the Data Developer Update to further improve the way dbt users manage their data development lifecycle: include the Lineage Graph for complex environments, dbt Cloud integration, and column Autodescribe to pull documentation based on column-level lineage
In part 2 of Mark's conversation with Chad Sanderson about the Semantic Data Warehouse, they discuss the importance of semantically defining entities and new roles for contracts and the data catalog.
The data catalog is becoming a ubiquitous part of the data ecosystem, so much so that the new data stack is now known by its three pillars: the warehouse, the BI tool and the data catalog. However, many organizations still struggle to wrangle their data in a way that allows users to answer the most basic questions: what data exists and what does it mean?