The library · 59 resources
Data & Analytics, on file.
Whitepapers, analyst reports and toolkits from 18 partners. Most are free with a short form, and we always tell you who you’re sharing it with.
The Essential Guide to Data Sharing
The ability to share data quickly and securely, both inside and outside an organization, is mission-critical to success in the age of AI. However, traditional methods for data sharing can be cumbersome, resulting in stale, out-of-date data and delayed time to insights.
How to Knit Your Data Mesh on Snowflake
Stung by organizational bottlenecks and data governance shortfalls, companies in all industries are choosing data mesh to decentralize data management and improve data agility.
7 Snowflake Reference Architectures for Application Builders
Data application 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.
Data Strategies for AI Leaders
As generative AI (gen AI) adoption transforms the competitive landscape, businesses without a strong data strategy will find their ambitions limited, according to a new report by MIT Technology Review Insights, in partnership with Snowflake.
Big Book of Data Engineering
As data volume and complexity increase, engineers are left figuring out how to manage, monitor and maintain fragile pipelines while also handling fragmented tools.
Lakebase For Dummies
For decades, databases bundled compute and storage. This made provisioning new databases slow and locked data into proprietary formats. Today, teams ship code in seconds and build apps, agents and AI products faster than ever.