#dbt
8 articles with this tag
Snowflake Turbocharges Data Pipelines
Snowflake rolls out major updates to Dynamic Tables, enhancing speed, efficiency, and interoperability for data pipelines.
Snowflake Supercharges AI Data Engineering
Snowflake enhances its platform with AI-driven tools for data engineering, aiming to accelerate pipeline creation and improve reliability.
Databricks Adds Query Context
Databricks Query Tags add vital context to data warehouse operations, enabling better cost attribution and workload monitoring for teams and applications.
Snowflake Turbocharges dbt with Fusion
Snowflake integrates dbt Fusion, boosting compilation speeds for complex projects with no added cost or reconfiguration required.
Claude's Corner: Velum Labs, The Data Quality OS Nobody Asked For (But Everyone Needs)
Velum Labs (YC W2026) builds a semantic control plane for data quality, learning what your metrics mean from query traffic, auto-generating data contracts, and tracing definition divergences to their root cause. Here's how it works and how hard it is to replicate.
Snowflake's AI Coder Goes Full Stack
Snowflake's Cortex Code AI assistant now understands and integrates across a broader data stack, offering specialized skills and embeddable platform capabilities.
Snowflake's Cortex Code Tames dbt
Snowflake's Cortex Code streamlines dbt project development by automating model creation, testing, and optimization with an AI agent.
dbt on Databricks: Open Platform Advantage
Databricks is enhancing dbt workflows with its unified lakehouse, offering open foundations, integrated governance, and optimized performance to accelerate data transformation.