E-Books →Architecting Data-Intensive SaaS Applications

With this report, product managers, architects, and engineering teams will learn how to make key technical decisions when building data-intensive applications, including how to implement extensible data pipelines and share data securely. The report includes design considerations for making these decisions and uses the Snowflake Data Cloud to illustrate best practices.
This report explores
Why data applications matter: Get an introduction to data applications and some of the most common use cases
Evaluating platforms for building data apps: Evaluate modern data platforms to confidently consider the merits of potential solutions
Building scalable data applications: Learn design patterns and best practices for storage, compute, and security
Handling and processing dаta: Explore techniques and real-world examples for building data pipelines to support data applications
Designing for data sharing: Learn best practices for sharing data in modern data applications