Optimizing Privacy and Compliance for Cloud Data Platforms

Organizations are increasingly turning to cloud data warehouses for advanced analytics and data visualizations. Solutions like Snowflake, Amazon Redshift, Google BigQuery, and more provide immediate value with secure and easy access to any data with near-infinite scalability.

By enabling seamless consumption and collaboration of shared data across the enterprise, organizations can make better business decisions while saving valuable time and money.

However, the convenience of having all of that data accessible from one platform makes full transparency and control essential. In order to truly protect data and prevent privacy and compliance exposures, organizations must journey all the way to the query level.

DBTA recently held a webinar with Doug Wick, VP of product, ALTR, and Matt Olsen, chief privacy officer at Sidley Austin, who discussed why organizations need full transparency and control over data access and how to optimize privacy and compliance for cloud data platforms.

Data warehousing has changed from complex, but thoughtful access governance and oversight to simple, but sometimes after-the-fact access governance and can lack oversight, Wick explained.

Companies need to protect sensitive data, but what is sensitive data? It’s often a moving and subjective target, Wick said.

The data-driven enterprise can mean that traditional approaches to access governance have begun to fail.

Companies should make access governance convenient by matching cloud with cloud. Let innovation with data continue without a slowdown and fill governance gaps with granularity in visibility and control.

“This can build a data map for you,” Olsen said.

Privacy and security are moving targets, as regulations and customer sensitivities are always changing, Wick said.

Organizations must control consumption, not just access, to keep data safe.

An archived on-demand replay of this webinar is available here.