This has ultimately given rise to a new data integration strategy, E L T, which skips the ETL staging area for speedier data ingestion and greater agility. ![]() In fact, cloud data warehouses are so fast at processing data that they have rendered ETL unnecessary for many use-cases. Modern cloud data warehouses have the processing capability to efficiently manage write operations on large data sets. Most organizations continue to rely on ETL for data integration, but the need for preload transformations has changed with the rise of high-performance, cloud-based data warehouses (like Redshift, Azure, BigQuery, and Snowflake ).
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