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What Is ELT? How Is It Different From ETL? | Trendnologies

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  Data is at the heart of almost every modern business. Companies collect information from websites, applications, CRMs, databases, cloud platforms, and business tools. But collecting data is only the beginning. Before organizations can analyze it, the data needs to be moved, prepared, transformed, and stored properly. Two commonly used approaches in modern data engineering are ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) . If you are exploring Data Engineering Training in Chennai , understanding the difference between ETL and ELT is an important step toward building a strong foundation in data engineering. What Is ELT? ELT stands for Extract, Load, Transform. In the ELT approach, data is first extracted from different sources and loaded directly into a target storage system such as a cloud data warehouse or data lake. The transformation happens after the data has been loaded. A simple ELT workflow looks like this: Extract → Load → Transform → Analyze For exam...