When Snowflake introduced Cortex Code, the appeal was immediate for teams already deep in the Snowflake ecosystem. With Cortex Code (CoCo), Snowflake provides an in-platform capability that can reason over SQL, schemas, dbt projects, and metadata, without moving data outside the platform. That lines up closely with how Passerelle’s analytics engineering teams already work. The question wasn’t whether the concept made sense. It was whether the capability… Continue reading Cortex Code in Practice: Maintaining dbt Projects as They Scale
Why is Data Transformation Essential? Data Transformation is essential to transform raw data into a form that can be used by advanced data applications, such as Dataiku ML models, or Flywheel Customer Activation. Raw data from multiple sources can be disorganized and difficult to leverage. Data transformation organizes and prepares the data, creating mature data… Continue reading Data Rocket Releases dbt cloud Integration
For data to have value, it can’t be static - data must be available to users throughout an organization, for a variety of applications. But as data is used, it presents its own set of challenges. As data moves from a warehouse to other applications and data models, multiple versions of truth can be created.… Continue reading Using Talend and dbt to Build an Enterprise Data Transformation Framework