ETL

ETL (Extract, Transform, Load) is the data integration pipeline that moves raw information from fragmented sources into a unified warehouse for analysis.

ETL is the backbone of modern data engineering. It executes a three-step sequence: extracting data from diverse sources (like MySQL databases or Salesforce APIs), transforming it through cleaning and schema mapping (converting currency or deduplicating records), and loading it into a target system (such as Snowflake or Amazon Redshift). This process ensures high data quality and consistency, allowing teams to run complex SQL queries and BI dashboards against a single, reliable source of truth. By automating these workflows, organizations eliminate manual data entry and reduce the latency between data generation and actionable insight.

https://www.ibm.com/topics/etl