Test and telemetry campaigns generate high-frequency time-series data (1Hz to 1GHz+), collected across thousands of sensors, producing multiterabyte datasets. When teams attempt to manage this at scale, they usually choose between two imperfect stacks: traditional time series databases that are fast but expensive and require downsampling or short data windows, or file servers that are inexpensive but are not queryable, effectively limiting engineers to downloading data locally for analysis. Marple, a data ingestion, storage and analysis software firm, tackles the issues, creating a unified platform, accompanied by live demos from Alessandro Pino, Bugatti-Rimac.

• How to centralize multisource data: sensors, simulations, etc from different formats: H5, matlab, TDMS, csv, etc
• With this data, how to unify it under a common namespace, signal pre-processing, metadata additions, etc
• How Marple stores the data in tiered storage to make terabytes accessible to engineers, either via SDK/API or in Marple Insight
• How engineers use Marple Insight; an analysis front-end to analyze data in-depth using industry standard calculations and plots
• How engineers use Marple Insight to gain campaign-level insights across thousands of tests all accessible at once