Automations

Automated completeness checks for Google Data Studio

⚡️ Automation

Automated completeness checks for Google Data Studio 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

Automated completeness checks for Google Data Studio

⚡️ Automation

Automated completeness checks for Google Data Studio 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

Secoda offers the capability to automate completeness checks for data stored in Google Data Studio. By leveraging Secoda, users can ensure a smooth and secure migration process by automatically verifying the completeness of their datasets. This feature allows for efficient and reliable scanning of migrated resources, enabling users to tag datasets as complete automatically.

How it works

Secoda's integration with Google Data Studio allows users to automate completeness checks through the Secoda Automations feature. An Automation consists of Triggers and Actions. Triggers activate the workflow based on specific schedules, such as hourly, daily, or custom intervals. Actions encompass various operations, such as filtering and updating metadata, enabling users to create customized workflows to meet their team's requirements. This integration also enables bulk updates to metadata in Google Data Studio, providing efficient data management capabilities.

About Secoda

Secoda integrates with Google Data Studio to automate completeness checks of data residing in the platform. By consolidating your data catalog, lineage, documentation, and monitoring into a single data management platform, Secoda ensures an efficient and safe migration process. With this integration, you can automate completeness checks in your data catalog, allowing you to automatically scan datasets and tag them as complete after migration. This helps in maintaining data integrity and streamlining the migration process.

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