Systems | Development | Analytics | API | Testing

The Snowflake Data Cloud is a powerful place to work with data because we have made it easy to do difficult things with data, such as breaking down data silos, safely sharing complex data sets, and querying massive amounts of data. As customers move to the Data Cloud, their needs and timelines vary—our goal is to meet every customer where they are on their Data Cloud journey.

This blog will summarise the security architecture of a CDP Private Cloud Base cluster. The architecture reflects the four pillars of security engineering best practice, Perimeter, Data, Access and Visibility. The release of CDP Private Cloud Base has seen a number of significant enhancements to the security architecture including: Before diving into the technologies it is worth becoming familiar with the key security principle of a layered approach that facilitates defense in depth.

The concept that data is critical to an organization's growth is nothing new. As digital transformation takes every industry by storm, however, the types and sources of data have rapidly evolved. Relying simply on proprietary data is blinding at best. Over the last few years, innovative companies have raced to tap into new sources — often those they don’t own.

AI models get smarter, more accurate, and therefore more useful over the course of their training on large datasets that have been painstakingly curated, often over a period of years. But in real-world applications, datasets start small. To design a new drug, for instance, researchers start by testing a compound and need to use the power of AI to predict the best possible permutation.