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ETL
(Extract, Transform, Load)
Extract, Transform, Load (ETL) is a process used in data integration to extract data from various sources, transform it into a consistent format, and load it into a target database or data warehouse. ETL is a critical component of data analytics and business intelligence.
ETL tools like Informatica, Talend, and Apache NiFi automate the process of data integration, enabling organizations to consolidate data from disparate sources for analysis and reporting. ETL ensures data quality, consistency, and accessibility, making it essential for decision-making and strategic planning. It is often used in conjunction with SQL and NoSQL databases to handle structured and unstructured data.
ETL tools like Informatica, Talend, and Apache NiFi automate the process of data integration, enabling organizations to consolidate data from disparate sources for analysis and reporting. ETL ensures data quality, consistency, and accessibility, making it essential for decision-making and strategic planning. It is often used in conjunction with SQL and NoSQL databases to handle structured and unstructured data.