Designing a NiFi dataflow for Catalysis involves several steps:
Identify Data Sources: Determine the various sources of data such as experimental results, simulation data, and literature databases. Create Process Groups: Organize the dataflow into logical units. For example, one process group could handle data ingestion while another handles data transformation. Configure Processors: Set up processors to perform tasks like data extraction, transformation, and loading (ETL). For instance, use the GetFile processor to ingest data from local storage and the PutDatabaseRecord processor to store processed data in a database. Set Up Controller Services: Configure shared resources such as database connections and security credentials. Monitor and Optimize: Use NiFiâs monitoring tools to track the performance of the dataflow and make necessary adjustments to improve efficiency.
