Some of the key features of Apache NiFi that are particularly relevant for catalysis research include:
Data Provenance: Tracks the origin, movement, and transformation of data, which is essential for ensuring data integrity and reproducibility in research. Scalability: Can handle data flows of varying sizes, from small laboratory datasets to large-scale industrial data. Extensibility: Supports custom processors and integrations, allowing researchers to tailor the tool to their specific needs. Real-time Processing: Enables real-time data processing and analysis, which is beneficial for monitoring ongoing experiments and making timely adjustments. Security: Provides robust security features, including data encryption and access controls, to protect sensitive research data.
