Managing data ingestion is a serious challenge as the variety of sources and processing platforms expands while the demand for immediately consumable data is unceasing.
In this paper we provide best practices for data ingestion that can help you:
- Reduce time required to develop and implement pipelines
- Create more reliable data movement architectures
- Elegantly handle data drift (schematic or semantic surprises)
- Continually manage dataflow performance