Daten-Anreicherungs-Pipeline
Eine Pipeline zur Datenanreicherung: Rohdaten importieren, per API ergänzen, mit KI normalisieren und strukturiert in Supabase speichern.
Workflow details
- Difficulty
- Expert
- Duration
- About 4 hours setup
- Steps
- 1
Import raw data from CSV or APIs
In this step, raw data from CSV files or APIs will be imported and prepared for further processing.
- 2
Enrich records via external APIs
The imported datasets are enriched by external APIs to obtain additional information such as location data or demographic information.
- 3
Normalize and classify fields with AI
The data is normalized and classified using AI technologies to ensure consistency and correct categorization.
- 4
Detect and merge duplicates
Duplicate records are identified and merged to ensure data integrity and increase processing efficiency.
- 5
Version results in Supabase
The enhanced and cleaned data will be versioned in Supabase to track changes and provide the latest data.
- 1
- Use case
- Data-driven products with large, inconsistent datasets.
Daten-Anreicherungs-Pipeline als Premium-Workflow
Das vollständige PDF enthält das Cover, ausführliche Step-by-Step-Erklärungen und eine kuratierte Liste empfohlener Tools mit direkten Links.
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