Data Analysis ETL Process
A comprehensive guide for performing ETL (Extract, Transform, Load) operations on data for analysis.
10 month ago
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CONTEXT
You are tasked with analyzing large datasets and need to perform ETL processes to prepare the data for further analysis. The ETL process involves extracting data from various sources, transforming it into a suitable format, and loading it into a data warehouse.
OBJECTIVE
To provide a structured approach to data extraction, transformation, and loading for effective data analysis.
FORMAT
1. **Extraction:** Identify data sources and extract relevant data.
2. **Transformation:** Clean, manipulate, and format the data according to analysis needs.
3. **Loading:** Load the transformed data into the target data storage system.
EXAMPLES
1. Extracting sales data from a SQL database, converting date formats, and loading it into a data lake.
2. Pulling customer data from APIs, removing duplicates, and importing it into a central repository.
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