Build and maintain trust scorecards for BigQuery

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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Overview

Integration with BigQuery allows you to tag data from this platform as part of your trust scorecard. A trust scorecard in data literacy is a tool for evaluating the reliability of data. It takes into account various aspects such as quality metrics, source credibility, compliance with governance standards, accessibility, and lineage documentation. By using this integration, you can educate stakeholders on data integrity and facilitate informed decision-making. It also helps improve data practices and builds confidence in data assets through transparent and accountable assessments of data's trustworthiness and quality.

How it works

Secoda's Automations feature enables seamless integration with BigQuery. By combining triggers and actions, you can create dynamic workflows to automate various operations. Triggers can be set on specific schedules or customized to fit your requirements, activating subsequent actions. These actions offer a wide range of functionalities, such as metadata updates and filtering. Stack multiple actions together to build elaborate workflows tailored to your team's needs. With Secoda, you can efficiently perform bulk updates to metadata in BigQuery, enhancing data management and trust scorecards.

About Secoda

Secoda's integration with BigQuery provides data teams with the ability to enhance their data enablement practices and effectively manage their trust scorecards. By leveraging BigQuery with Secoda, data teams can scale their data operations and ensure the maintenance of their trust scorecards. Secoda acts as a comprehensive data management platform, consolidating your company's data catalog, lineage, documentation, and monitoring in one central location. This integration simplifies the process of organizing and accessing data knowledge, empowering data teams to optimize their workflows efficiently.

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