DBTA: Protecting Sensitive Data in your Cloud Data Warehouse
DBTA: Protecting Sensitive Data in your Cloud Data Warehouse

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There is no wonder why organizations are 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 your data accessible from one platform makes full transparency and control essential. In order to truly protect your data and prevent privacy and compliance exposures, organizations must journey all the way to the query level.

Whether you already own a cloud data warehouse or are currently in the market for one, you should join experts Doug Wick, VP of Product at ALTR, and Matt Olsen, Chief Privacy Officer at Sidley Austin, as they discuss why you need full transparency and control over data access and how to optimize privacy and compliance for today's most popular cloud data platforms.

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