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How Snowflake Simplifies ETL for Multi-Source Data www.bluent.comban site
Most organizations use multiple data sources like CRMs and ERPs, which store data in different formats and speeds, posing a challenge for unified analysis. Snowflake and ETL integrate these systems using connectors and built-in features, allowing data extraction, transformation, and loading.
Snowflake enhances ETL efficiency and manageability through features like separating storage and compute and supporting elastic scaling. This modernization enables data teams to deliver high-quality, compliant insights and future-proofs the enterprise data environment by centralizing dispersed data and providing faster analytics.
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