Functional use cases of Datamin represent how our framework for creating and running pipelines can be used for:

• Streaming from different sources to different destinations

• Data orchestration, filtering, cleaning, transforming, enriching, and ingestion

• Various types of on-fly calculations, monitoring, and reporting

Streaming from Apache Kafka and messaging queues

Streaming from APIs

Streaming from databases

Data orchestration, transformation and processing

Usage of Python and Pandas

KPI Monitoring

OKRs and custom metrics

Data Issues & Incidents

Reporting

Other functional use-cases