Architectures for innovative geodata management and processing
We focus on identifying and realizing innovative solutions for transforming, managing, analyzing and visualizing data from disparate sources. The increase in the volume and variety of data, as well as the velocity of data streams, demands new and advanced methods, technologies and architectural designs to address these challenges. This is where our SDI Innovations team contributes with research and development (R&D) and professional services (PS). We are currently working on:
- Processing Scalability: identifying and implementing requirements for horizontal and vertical scaling of processing algorithms.
- Workflow Chains and Orchestration: designing and automating complex process workflows.
- Earth Observation Data Processing: handling massive amounts of EO data in an efficient and scalable manner.
- Fit For Purpose Data: pre-processing, ingesting, and delivering raster and vector data to fit the purpose of a specific solution
- Cloud Environments (PaaS, IaaS, SaaS): leveraging their capabilities in terms of deployment patterns, input data handling, and processing results.
- Standardization: harmonizing processing interfaces, creating and using interoperable data formats.
- Processing Transparency: strengthening reproducibility, data quality and metadata quality, and process discovery.
We address these challenges in a number of R&D and PS projects. Our research partners and customers come from academia and industry and cover a wide range of application domains, such as environmental monitoring, emerging market development, climate change, or disaster management. This diversity enables us to develop new approaches that address the needs of many real-world problems and use cases.