ETL (Extract, Transform, Load)

ETL (Extract, Transform, Load) is a data processing framework used in data warehousing and data integration. It involves three key steps:1. **Extract**: This step involves retrieving data from various sources, which can include databases, CRM systems, APIs, flat files, and more. The goal is to gather all necessary data for analysis or reporting.2. **Transform**: In this stage, the extracted data is cleaned, standardized, and transformed into a suitable format or structure. This process may include data validation, filtering, aggregation, and applying business rules to ensure that the data is accurate and usable.3. **Load**: The final step is loading the transformed data into a target database or data warehouse, making it available for querying and analysis. This can occur in batch processes or real-time.ETL processes are crucial for businesses to consolidate data from multiple sources, ensuring that the information is reliable and accessible for decision-making. ETL tools and frameworks help automate these processes, improving efficiency and data quality.