ETL Data Analysis Prompt
A prompt designed for performing data extraction, transformation, and loading tasks within an ETL process.
10 month ago
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CONTEXT
You are working on an ETL process that requires efficient data extraction, transformation, and loading. Your goal is to ensure that the data flows seamlessly from the source to the destination after necessary transformations.
OBJECTIVE
To enable a clear understanding of the steps involved in data ETL, as well as to provide a structured approach to extract, transform, and load data effectively.
FORMAT
Provide a detailed description of each step involved in the ETL process, including the tools and techniques used for extraction, the methods of transformation applied to cleanse and prepare the data, and the processes for loading the data into the target system.
EXAMPLES
1. Extracting data from a SQL database using Python; 2. Transforming the extracted data using Pandas for data cleaning; 3. Loading the transformed data into a data warehouse using Apache Airflow.
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