Automations

Build and maintain trust scorecards for dbt

⚡️ Automation

Build and maintain trust scorecards with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

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Automations

Build and maintain trust scorecards for dbt

⚡️ Automation

Build and maintain trust scorecards with Secoda. Learn more about how you can automate workflows to turn hours into seconds. Do more with less and scale without the chaos.

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dbt
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Overview

DBT integration enables the tagging of data from dbt within a trust scorecard that evaluates data reliability. The trust scorecard assesses quality metrics, source credibility, compliance with governance standards, accessibility, and lineage documentation. By including dbt data in this evaluation, stakeholders can gain insights into data integrity, make informed decisions, improve data practices, and develop confidence in the trustworthiness and quality of their data through transparent and accountable assessments.

How it works

Secoda's Automations feature seamlessly integrates with dbt, allowing you to automate data workflows effortlessly. An Automation consists of Triggers and Actions. Triggers determine when the workflow is activated, and you can set schedules to trigger subsequent actions. Actions encompass a range of operations such as filtering and updating metadata. You can stack multiple actions to create customized workflows that meet your team's requirements. With Secoda, you can efficiently perform bulk updates to metadata in dbt, ensuring accurate and comprehensive documentation, usage tracking, and more.

About Secoda

Integrating Secoda with dbt allows data teams to efficiently expand their data enablement practices. By leveraging Secoda's comprehensive data management platform, which includes a consolidated data catalog, lineage, documentation, and monitoring, teams can effortlessly uphold their trust scorecards. This integration with dbt empowers data teams to streamline their data workflows and enhance their data knowledge, ultimately enabling them to scale their operations effectively.

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