Data Engineering & Structuring

Cleaning, structuring and centralizing data for clean, reliable and ready-to-use data.

Our data engineering solutions

Symbiome supports you in structuring and optimizing your environmental data. In our database design and evolution projects, we emphasize the application of FAIR principles: Findability, Accessibility, Interoperability, and Reuse of digital resources (Wilkinson, 2016). These principles improve the quality, traceability and reusability of stored data, facilitate interoperability between systems, and ensure the longevity of the databases we build with our clients.

Services offered:

Audit and diagnosis of your current data (Excel, CSV, databases)
Design of suitable database schemas
Data migration and cleaning
Implementation of APIs for data access
Complete technical documentation for developers and users

Use cases:

Centralization of heterogeneous data

You work with multiple data sources (Excel files, sensors, field observations). We create a central database to facilitate the management of your data.

Technologies used:

PostgreSQL PostGIS MongoDB Django ETL API REST Docker