← This weekAnalysisData engineering & the warehouse/lakehouseSnowflakeRedshiftA recent analysis highlights that ingestion and transformation are the primary workloads for data warehouses like Snowflake and Redshift. These platforms are primarily used for processing and transforming data, rather than just storing it.
MyDataWork POV — The focus on ingestion and transformation in Snowflake and Redshift suggests a niche but critical role for these platforms. While essential for teams deeply involved in data engineering, those looking for comprehensive analytics solutions might find them lacking. It's a reminder that not all data warehouses are built for the same purpose, and the choice should align with specific workflow needs. For organizations heavily invested in data processing, this is a noteworthy consideration; others might look elsewhere for broader capabilities.
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MyDataWork users can benefit from automatic cataloging of transformation outputs in Snowflake, ensuring visibility into schema, columns, and lineage without needing tool-specific integrations.
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