Gain insight from your machine processes without ETL

Examples of machine-generated data analytics where RAW is applicable include:

• Product Traceability within a manufacturing environment, where each machine creates files resulting from processing events in proprietary formats
• Predictive Maintenance scenarios where machine sensor readings, maintenance schedules and performance events can be fed by RAW directly into machine learning models
• DevOps / DataOps failure investigation where analysis of distributed components’ log files requires combined query and correlation of events

Create data products directly from these types of datasets, and expose as APIs quickly and efficiently.