Functional use cases of Ylem 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
Last updated 1 year ago