If you’re planning a migration from on-prem to cloud, you likely justified the project with anticipated benefits such as elastic scalability and consumption based pricing. The underlying assumption is you can do more — sometimes much, much more — faster and cheaper when you migrate applications and services to the cloud. You also know that [...]
A well-planned “data quality framework” for DataOps data engineers can help end production surprises. When data engineers invest in a data quality management framework that includes strong data testing skills to help the team solve issues, the result is reliable data.
In this session, we will discuss Snowflake and its security features. We will then focus on key areas where organizations face difficulties or do not adhere to best practices. We will then see how to reduce risks in Snowflake accounts, focusing on things that can be relatively easy to implement, yet reduce a significant risk.