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DBTA: Protecting Sensitive Data in your Cloud Data Warehouse

Full transparency and control over data access is crucial for today's most popular cloud data platforms.

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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DBTA: Protecting Sensitive Data in your Cloud Data Warehouse

Full transparency and control over data access is crucial for today's most popular cloud data platforms.

Published on Jun 04, 2020
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Authors

Speakers

Doug Wick

Doug leads product and marketing at ALTR. With over 20 years of startup experience, he has broad experience managing product conception and development through to market success. His last role was as CEO of TradeLive, a startup marketplace for IT equipment, with previous executive roles leading product management, sales, and marketing.