Snowflake’s guide shows how product managers can build high-performing SaaS data apps across five use cases: Customer 360 apps unify fragmented data for targeted offers; IoT apps analyze massive time-series data streams; security analytics apps detect threats and monitor health in real time; ML apps enable fast experimentation and predictive modeling with zero-copy clones; and embedded analytics apps deliver live insights within applications. Snowflake provides scalable compute, native JSON support, streaming ingestion, and virtual warehouses to handle concurrency and reduce costs, ensuring responsive, modern data products that scale effortlessly.

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