Summary of Using NiFi Ingest with Micro Focus IDOL

00:00:00 - 00:05:00

The video demonstrates how the NiFi ingesting platform can be used to process data from the Cord 19 dataset. NiFi is able to process the data in a variety of formats, including CSV and JSON. The video also demonstrates how the data can be enriched with additional information, such as metadata.

• 00:00:00 The video demonstrates how the NiFi ingesting platform can be used to process data from the Cord 19 dataset. NiFi is able to process the data in a variety of formats, including CSV and JSON. The video also demonstrates how the data can be enriched with additional information, such as metadata.
• 00:05:00 In this video, the creator demonstrates how NiFi Ingest can be used to process metadata from documents, generate topic maps, and generate metadata fields, among other tasks. NiFi Ingest is a normalized data processor step that greatly enhances the effectiveness of analysts using idols. This application is used by making metadata consistent and thus user-friendly, in lieu of having humans read all the data and apply deeper subject matter expertise and manually tag the documents. Idle adduction is leveraged instead for the cord 19 data set. The medical diseases condition and drug values are generated, and the normalized authors and country fields values are generated. The Sunburst visualization exposed the derived metadata fields as visualizations.