As more data migrates to the cloud, driven by the cloud’s near-infinite scale and horsepower, it’s imperative that enterprise data governance models evolve in step. IT and business leaders need up-to-date policies to protect data as it moves back and forth among different repositories and to accommodate changing privacy and data security regulations about where data can be stored.
Both good data and a good amount of data are necessary for the real-time analytics and machine learning (ML) enterprises require to help them improve decisions and automate operations. That’s why it’s essential to gain complete data visibility across different types of data stores, with unified governance and security policies to match.
