Data applications developers need a data stack architecture with built-in scalability and connectivity. A cloud data platform delivers the performance and nearly infinite autoscaling needed to launch and scale applications quickly and cost-effectively.
The Snowflake platform provides high-performance and unlimited concurrency, scalability with true elasticity, SQL for structured and semi-structured data, and automatic provisioning, availability, tuning, and data protection that takes the operational burden off SRE/ DevOps teams.
Most importantly, Snowflake ensures seamless connections to third-party platforms and APIs, easily fitting in with existing environments.
This ebook provides detailed reference architectures for seven use cases and design patterns, including:
- Serverless and Streaming Data Stack
- ML and Data Science
- Application Health and Security Analytics
- Customer 360, IoT and Embedded Analytics