dbt Cloud Connector Support: General Availability — ADOC 26.4.0

Acceldata 26.4.0 introduces an enhanced dbt Cloud Connector that addresses previous reliability issues and provides enriched metadata context and a unified pipeline view, reflecting the execution of dbt Cloud jobs more accurately. This release is significant as it overcomes the limitations of the original connector, which relied on Open Lineage events and resulted in fragmented pipeline runs, lacking comprehensive job execution insights. The new implementation leverages dbt's native artifacts to reconstruct end-to-end lineage, thereby improving accuracy and control over lineage quality. It supports all dbt resource types and integrates test failure visibility directly into the pipeline view, facilitating quick root cause analysis. Additionally, the connector now accurately reflects dbt Cloud's native behavior of skipping downstream steps when an upstream node fails, while also allowing for data source association and filtering, as well as selective project onboarding. Aimed at data engineering and analytics teams working in enterprise environments with dbt Cloud on platforms like Snowflake, BigQuery, and Databricks, this connector provides crucial end-to-end pipeline visibility and reliability. The updated connector is part of the Acceldata 26.4.0 release, available for immediate use without requiring migration for existing configurations.

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