Automations

MongoDB schema change alerts

⚡️ Automation

MongoDB schema change alerts 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

MongoDB schema change alerts

⚡️ Automation

MongoDB schema change alerts 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 MongoDB allows for efficient and safe migration of data. MongoDB is an open-source NoSQL database management program that handles large sets of distributed data. It utilizes a document-oriented data model and stores data in a binary representation of JSON-like documents called BSON. With the integration, Secoda can provide schema change alerts for data residing in MongoDB, ensuring a smooth migration process. Additionally, Secoda automates completeness checks in the data catalog and enables automatic scanning and tagging of datasets as complete after migration.

How it works

Integration with MongoDB allows for efficient and safe migration of data. MongoDB is an open-source NoSQL database management program that handles large sets of distributed data. It utilizes a document-oriented data model and stores data in a binary representation of JSON-like documents called BSON. With the integration, Secoda can provide schema change alerts for data residing in MongoDB, ensuring a smooth migration process. Additionally, Secoda automates completeness checks in the data catalog and enables automatic scanning and tagging of datasets as complete after migration.

About Secoda

Secoda integrates with MongoDB to provide schema change alerts for data residing in the database. This integration ensures a smooth and secure migration process. By consolidating data catalog, lineage, documentation, and monitoring into a single platform, Secoda serves as an index of your company's data knowledge. With Secoda, you can automate completeness checks in your data catalog and scan datasets to tag them as complete after migration. This integration facilitates efficient and reliable data management.

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