Explore our collection of blog posts, in-depth tutorials, and on-demand webinar recordings.
This 60-minute session includes an introduction to SDF’s capabilities as a transformation layer and a live lab, where SDF engineers will guide you through the fundamentals of setting up your first SDF project with Snowflake.
In fast-moving data environments, managing changes across complex pipelines can quickly become a tangled mess of models, especially without the right tools to cut through the chaos. Enter SDF’s column-level Impact Analysis...
SDF Labs and Dagster Labs are excited to announce a huge leap forward in seamless data development, combining the safety and speed of SDF’s powerful transformation layer with the expansive orchestration capabilities of Dagster.
SDF extracts SQL compilers from their clouds and puts them on your laptop with Executable Semantics to power the next generation of data developer tooling. We are thrilled to announce SDF’s public beta and share our vision for a transformational shift in data development towards Semantic Data Warehouses which are code-backed, scalable and correct.
Data development at enterprise scale is really hard. Data organizations need to rapidly deliver insights while managing a complex landscape of governance and privacy regulations.
Taking a look at the skepticism around the Modern Data Stack, reviewing the financial circumstances that led us here.
SQL lacks flexibility, testability, and composability. So what improvements can be made to the SQL language in the near future?
SQL has evolved with dialects. SQL dialects vary in syntax, name resolution, function behavior, nullability, structured types, and much more. How do developers keep pace?
50% of columns modern data warehouses are just VARCHARs. How do we augment columns with additional meaning? With data classification!
