Deprecation warnings in Postgres

Deprecation warnings in Postgres 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 includes integration with PostgreSQL, an open-source relational database management system. PostgreSQL, also known as Postgres, utilizes the SQL language and offers numerous commands and flags for database interaction. With the psql command-line interface, users can perform various tasks such as connecting to databases, managing schemas and users, and retrieving information about functions, tables, and schemas. PostgreSQL is widely used for data querying and analysis, supporting different versions of SQL syntax. By integrating with PostgreSQL, Secoda allows users to automatically identify and tag assets in their data catalog that have not been updated or viewed within a specified time interval, such as the last 90 days. Notifications are provided when assets are ready to be deprecated based on their usage levels.

How it works

Secoda offers seamless integration with Postgres, allowing you to automate various tasks in your workflows. Triggers play a crucial role in initiating the workflow, and you can schedule them according to your specific requirements. Actions enable a range of operations, such as filtering and updating metadata, providing flexibility to customize workflows to meet your team's needs. With Secoda's integration with Postgres, you can efficiently handle bulk updates to metadata. Additionally, Secoda enables you to automatically identify and tag assets in your data catalog that have not been updated or viewed within a specified time interval, such as 90 days. You can also receive notifications when an asset is ready to be deprecated based on their usage levels.

About Secoda

Secoda, a comprehensive data management platform, can assist in the integration of Postgres for data migration purposes. By leveraging Secoda's indexing capabilities, companies can consolidate their data catalog, lineage, documentation, and monitoring all within one unified platform. This integration with Postgres can be particularly useful for obtaining asset deprecation warnings, allowing businesses to efficiently manage their data assets.

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