ETL

ETL is a data processing workflow consisting of three main stages:

• Extract: retrieving data from multiple sources such as databases, file systems, SaaS applications, or data streams. The goal is to collect all required data regardless of format or location.
• Transform: converting data into a consistent format or structure. This stage may involve data cleaning, filtering, aggregation, merging from different sources, enrichment, or type conversion. Transformation prepares data for analysis or for compatibility with the target system.
• Load: storing processed data in the target system, such as a data warehouse, analytics database, or reporting system. Loading can be done in bulk (batch) or in real time (streaming).

ETL is a key process in data integration, enabling organizations to consolidate information from multiple sources into one place. It facilitates reliable reporting and business analytics, supports data-driven decision-making, and automates data preparation, reducing errors and manual effort.