What is ETL?
ETL (Extract, Transform, Load) is a three-step data integration process that forms the foundation of modern data warehousing and analytics. This process begins with extracting data from various source systems, continues with transforming that data to meet business requirements and quality standards, and concludes with loading the processed data into a target system.
While traditional ETL processes typically run in batches, modern extract transform load software implementations increasingly utilize real-time stream processing to enable more timely data integration and analysis.
Benefits of ETL Over ELT
Traditionally, ETL was the standard. But with cloud data warehouses, Extract, Load, Transform (ELT) has gained traction.
ELT offers several distinct advantages in specific use cases. Let’s examine how ETL excels by comparing it to ELT’s limitations.
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Data Governance and Security: ETL’s transform stage, before data reaches the warehouse, provides a data security and compliance advantage, particularly for personal data.
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Transformation Complexity and Flexibility:ETL’s early transformation layer is essential for cleaning and conforming disparate data. Tools …