As cloud data platform adoption accelerates and organizations become more reliant on data, teams using Databricks as the primary platform for ETL and data science must have a tool that enables dynamic data masking across Databricks and any other platform in their data stack. This article will walk through how Immuta delivers on this...
Data security is the responsibility of everyone in the organization. From ETL developers to business users and data consumers, anyone who relies on data shares a responsibility to use it appropriately. However, with several different systems and, in many cases, silos, it can often be difficult to effectively put this...
Implementing row- and cell-level security by hand can be a pain, whether that means maintaining an ETL pipeline to transform raw data into “clean” data that is viewable by analysts, or maintaining a system of GRANTs on views implementing the policies for an organization. This also does not factor in...
Organizations with large workforces are increasingly analyzing employee data using cloud data platforms such as Databricks in order to optimize performance, engagement, and results. This trend necessitates a new approach to Databricks access control. In this article, we’ll walk data engineering and operations teams through how to dynamically enforce k-anonymization on a...