This guide explains why organizations are moving from on-premises ETL to cloud-driven ELT. Traditional ETL struggles with today’s large, varied data, requiring upfront transformation that limits flexibility. ELT loads raw data first and transforms it in the cloud, enabling scalability, faster processing, and support for unstructured data. ELT is ideal for high-volume, semi-structured workloads and real-time analytics. Snowflake simplifies ELT with a scalable architecture that separates compute and storage, automates transformations, and eliminates data silos. This approach reduces complexity, speeds insights, and maximizes cloud resources.

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