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Data-intensive applications require a modern data architecture to meet customer expectations. That’s why fast-growing software companies are turning to cloud data platforms. Although some application builders originally launched applications on legacy data stacks, many have now migrated to the cloud to overcome growing pains. Others are building apps on Snowflake’s platform from the start because they are aware that Snowflake helps address the biggest challenges in building highly performant data applications.
This guide describes five of the most common use cases for building data applications, and how Snowflake addresses the key challenges that builders of such applications face:
Application health and security analytics
Machine learning (ML) and data science