Automations

Automated completeness checks for Oracle

⚡️ Automation

Automated completeness checks for Oracle 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 Oracle

⚡️ Automation

Automated completeness checks for Oracle 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's integration with Oracle enables the automation of completeness checks for data stored in Oracle. This integration is designed to ensure a smooth and secure migration process. By utilizing Secoda, users can automate the scanning of datasets and assign them the appropriate completeness tags after they have been migrated. This feature streamlines the process of verifying data completeness, enhancing efficiency and reliability.

How it works

Secoda's integration with Oracle allows you to automate completeness checks through the Secoda Automations feature. Automations consist of Triggers and Actions. Triggers activate the workflow based on specific schedules, such as hourly, daily, or custom intervals. Actions encompass various operations, including filtering and updating metadata. By stacking actions, you can create detailed workflows that meet your team's specific requirements. With Secoda, you can efficiently perform bulk updates to metadata in Oracle.

About Secoda

Secoda's data management platform offers a comprehensive solution for companies looking to streamline their data catalog, lineage, documentation, and monitoring processes. With integration capabilities for Oracle, Secoda enables the automation of completeness checks for data residing in Oracle databases. This integration ensures a smooth and secure migration process by allowing users to automatically scan datasets and tag them as complete after migration. By consolidating these functionalities into a single platform, Secoda simplifies the management of data resources and enhances efficiency in data operations.

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