ETL Data Analysis Prompt
A prompt designed to guide users through the process of data extraction, transformation, and loading for data analysis.
10 month ago
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CONTEXT
This prompt is aimed at assisting users in performing ETL processes for their data analysis needs. It outlines the necessary steps and considerations for each phase of the ETL lifecycle.
OBJECTIVE
To provide a clear and structured approach to extracting, transforming, and loading data to facilitate analysis, ensuring data integrity and usability.
FORMAT
The response should follow a systematic structure detailing extraction methods, transformation techniques, and loading guidelines suitable for the desired data source and destination.
EXAMPLES
1. Extracting data from a SQL database, transforming it into CSV format, and loading it into a data warehouse. 2. Extracting JSON data from an API, transforming it by flattening the structure, and loading it into a data lake.
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