FI-Admin Data Migration to MongoDB

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This project aims to migrate data from FI-Admin in JSON format and then convert it to MongoDB, enriching some metadata during the process. The project uses Python and Airflow to automate the migration.

Objective

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The primary objective is to provide an automated solution for migrating data from FI-Admin to MongoDB, ensuring that the data is enriched with relevant metadata during the process.

Technologies Used

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• Python: Used to develop the functions for extracting, transforming, and loading the data.
• Airflow: Used to automate and orchestrate the workflow of the migration.
• MongoDB: NoSQL database where the data will be stored after migration.
• FI-Admin API: Source of the data to be migrated.

Features

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• Data Extraction: Extraction of JSON data from FI-Admin via API.
• Transformation and Metadata Enrichment: Transformation and enrichment with additional metadata.
• Loading into MongoDB: Loading of transformed data into MongoDB.
• Automation with Airflow: Use of Airflow to automate the entire migration process.

How to Run the Project

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Prerequisites

• Python 3.12
• Airflow 2.10.5
• MongoDB installed and running
• Access to the FI-Admin API