Snowflake recently launched dynamic data masking, an incredibly useful feature for companies and data-centric organizations that have strict security data governance requirements. This article demonstrates how we implemented data masking at Snowflake by introducing a data masking policy on a VARIANT data type field that holds data in JSON format. We implemented the policy on top of tables and views.
Today’s Data Privacy Day offers consumers an opportunity to learn about how companies use, collect, and share their personal information. At the same time, it gives companies a chance to focus on and highlight how they are protecting customer data. Although most businesses view data privacy practices as a way to mitigate their risk, good practices around data privacy can actually differentiate your organization from your competitors.
Today, Snowflake is announcing the general availability (GA) of the External Tables feature. Snowflake launched the External Tables feature for public preview at the Snowflake Summit in June 2019. It is one of the key features of the data lake workload in the Snowflake Data Cloud.
The Snowflake Data Cloud provides the unique ability for anyone to join their own data sets with thousands of live third-party data sets near-instantly, securely, and without moving data. Businesses operating in the Data Cloud gain a huge advantage over their competitors who are stuck in data silos and struggling with stale data sets downloaded from their legacy data providers weeks, months, or years ago.
