OMOP CDM
From a fully outsourced approach to ETL to hands-on training aimed at self-service transformations, our experts can provide support with mapping electronic health records, registry and commercial claims data.
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Data Engineering
Scalable Infrastructure, ETL & End-to-End Support for Multi-Source Research
At The Hyve, we leverage a solid management foundation to design scalable infrastructures that ensure efficient data processing and storage from multiple sources. Specializing in extracting, transforming, and loading (ETL) data, we seamlessly integrate diverse datasets. Our expertise enables research by engineering data to fit your chosen data model, maximizing its utility. From data quality to use case discovery, we support every stage of the process. Whether working with registries, EHR, claims, or biobanks, we help you unlock the full potential of your data.
Models we're working with
PANCAIM Clinical Data Model
Designed to support the PANCAIM project, our custom-made clinical data model harmonizes diverse clinical data from multiple European hospitals, enabling seamless integration with radiomics, genomics, and imaging data for advanced cancer research.
Services we offer
Building ETL (Extract, Transform, Load) PipelinesÂ
Our team of experts builds robust ETL (Extract, Transform, Load) pipelines to combine data from multiple sources into a central repository. We clean and organize raw data using tailored business rules, preparing it for storage, data analytics, and machine learning. Whether integrating complex datasets or optimizing existing workflows, we ensure your data is reliable and ready for analysis.
Data Engineering Support
Data science teams focus on analytics. Our data engineers can take care of the preparation of data ensuring quality data is at the right place at the right time.
Data Integration
Working with multimodal data and combining data from different sources is more important for research than ever. We help design and implement data integration.
Feel free to reach out!
- Are you looking to scale your infrastructure for multi-source research?
- Do you need support in integrating diverse datasets?
- Are you curious about our approach to ETL and data quality?
- Have other questions or specific use cases in mind?