Automations

Automated completeness checks for BigQuery

⚡️ Automation

Automated completeness checks for BigQuery 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 BigQuery

⚡️ Automation

Automated completeness checks for BigQuery 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 provides the capability to automate completeness checks for data stored in BigQuery. By utilizing Secoda, users can ensure an efficient and secure migration process by automatically scanning datasets and tagging them as complete after they have been migrated. This automation feature enables users to perform completeness checks in their data catalog, specifically for data residing in BigQuery, streamlining the migration process and ensuring data integrity.

How it works

Secoda's integration with BigQuery allows users to automate completeness checks using the Secoda Automations feature. An Automation consists of Triggers and Actions. Triggers determine when the workflow is activated, and users can define schedules such as hourly, daily, or custom intervals. Actions encompass various operations such as filtering and updating metadata. These actions can be stacked to create customized workflows that meet the specific needs of the team. With Secoda, users can efficiently perform bulk updates to metadata in BigQuery.

About Secoda

Secoda's integration with BigQuery enables the automation of completeness checks for data residing in BigQuery. This integration ensures an efficient and safe migration process. With Secoda, you can automate completeness checks in your data catalog, allowing you to scan datasets and tag them as complete after migration. By consolidating your data catalog, lineage, documentation, and monitoring into a single platform, Secoda serves as an index of your company's data knowledge, facilitating effective data management.

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