Automations

Usage monitoring for Dataform

⚡️ Automation

Usage monitoring for Dataform 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

Usage monitoring for Dataform

⚡️ Automation

Usage monitoring for Dataform 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 Dataform allows users to monitor the usage levels of data resources and metadata through Secoda. This integration serves the purpose of ensuring an efficient and safe migration by providing insights into the management of data workflows in cloud data warehouses such as Google BigQuery, Amazon Redshift, or Snowflake. With Dataform, data analysts can build, test, version control, and schedule complex SQL workflows for data transformation, abstracting away the complexity associated with building SQL pipelines.

How it works

Integration with Dataform allows you to monitor the usage levels of data resources through the Secoda Automations feature. An Automation consists of Triggers and Actions. Triggers activate the workflow based on specific schedules. Actions encompass various operations such as filtering and updating metadata. You can stack actions to create customized workflows to meet your team's unique requirements. Furthermore, Secoda enables you to perform bulk updates to metadata in Dataform.

About Secoda

Dataform and Secoda can be integrated to facilitate data migration and monitor the usage levels of data resources. Secoda acts as a comprehensive data management platform, consolidating your company's data catalog, lineage, documentation, and monitoring. By leveraging this integration, you can effectively manage and track your data resources throughout the migration process.

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