Latest Articles

Generative AI feature summarizes query-level context for data discovery and development workflows in Stemma's data catalog

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.

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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

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Three queries and simple steps that data engineers can use to reduce Snowflake compute costs due to ETL

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We define micro migrations in data engineering, provide some real world examples, and then give three patterns you can employ manage them better

A look at how Data leaders are facing a lack of resources, the changing role of data engineers, and the challenge of self-serve

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.

Lessons from SaaS on why open standards may not be the answer for solving the metadata problem

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A deeper look at how to balance proactive and reactive methods for successful data management

The team at Stemma developed tools to automate data stewardship for companies who won by making big bets on data. They are now building tools for modern, democratized teams.

Data management is best handled by balancing proactive and reactive methods

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Building dashboards that help you make better decisions using Tableau and Stemma

Learn how to migrate from open-source Amundsen to Stemma based on organizations like iRobot and more.

How to effectively define ownership of your data assets while onboarding a 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?