Machine-Generated Data Analytics
Perform analytics directly on machine-generated data without needing to reformat and load into a database.
Gain insight from your machine processes without ETL
Machine data comes in all formats, shapes and sizes, and can be difficult to perform analysis on. It may be collected and stored in many places too, meaning that there can be thousands or millions of files of different structures. Examples of solution use cases 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 and performance events are gathered and stored at the edge.
- DevOps / DataOps support, where analysis of distributed components’ log files requires combined query and correlation of events
With RAW, you can perform analytics directly on these datasets and expose data products as APIs quickly and efficiently. Here’s why:
RAW Features and Benefits
No ETL - Query data at source
Reduce cost and complexity, whilst enabling greater agilitySmart Caching
Faster results for users without complex configurationAPIs-as-a-Service
Spend all your effort on business logic and not infrastructureSQL on Databases, Files & APIs
Query raw and refined data sources and output in multiple formatsDataOps inside
Deliver and iterate faster with higher qualityLearn More
Interrogating machine generated data for diagnostics
Cesar Matos shows us how RAW can give fast answers to a complex data problem where engineers need to investigate issues plaguing operational systems.
Introducing the RAW Data Product Platform
Data Products as a Service: A collaborative DataOps platform as a service for data APIs. Create and Share data faster.
RAW Labs to Participate in "SmartDataLake: Sustainable Data Lakes for Extreme-Scale Analytics" EU Initiative
RAW Labs SA has been awarded a contract to participate in the highly visible SmartDataLake project funded by the EU. RAW Labs will provide its NoDB Platform for the project....