Data Ingest, Processing, and Storage on managed systems (i.e. the cloud): Knowing how to effectively (cost, latency, interoperability, etc.) receive scientific data from IoT via cloud services helps scientists ingest (receive, format, split/tee, etc.), process (QA/QC, derive data, analyze/apply ML/AI), and store (retain, share, dispose, etc.) their data. The cloud’s distributed nature, scalability, and resilience provides significant advantages for data ingestion and distribution, along with cost-effective options for processing and management. This session would highlight the CHS Cloud Sensor Processing Framework (CSPF) offering, which promotes and encourages innovation in data and technology (USGS Data Strategy Goal #2) and enhances data-literacy and skill-building across the USGS workforce (USGS Data Strategy Goal #5) via direct project consulting.
