Part 5/10:
Standardization across sources is paramount. When data arrives in varied formats, transforming it into a common structure simplifies analysis. NiFi allows for such transformations, converting unstructured or semi-structured data into structured profiles suitable for downstream analytics.
Moreover, managing data's provenance ensures quality and trustworthiness, recording source, transformations, and modifications. This metadata facilitates compliance, debugging, and auditability.
Delivering Resilient and Scalable Data Flows
Resilience is crucial in big data environments. Systems must handle hardware failures, network issues, and high throughput demands without data loss or delays.
Techniques include:
Horizontal scaling of servers
Stateful vs. stateless architectures