WASP is our end-to-end framework that leverages real time streaming analytics in the central platform and Artificial Intelligence at the Edge.
It is a scalable solution that works in real production environments where high volumes and performances are a must.
on streaming pipelines
Real time massive
Real time and predictive
For Business Users
- New Business Scenarios – not feasible with a traditional Data Analysis approach
- Self-service Data Access
- Pluggable Data Science Environment
- Notebook access to the data
- Easiness data pipelines management via pre-built “streaming analytics”
- Expandable ML libraries
- Deployable both On-Premise or in Cloud
- Pluggable on the most common BigData frameworks and Cloud PaaS providers
- Open Source Core platform
- API Data exposure: raw data and processed data at different stages
IT & Applications
Wasp Data Quality
Wasp DQ is part of the WASP Platform
Allows monitoring the quality of the data for a pipeline built within a big data environment.
The tool enables the control of the pipeline (both batch or streaming) from raw data to data model, leveraging natively Spark computations, without any external access to the environment typical of the traditional DQ tools.