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Exploring Data Warehouse Security Strategies with Teradata's Billy Spears

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Manage episode 446376087 series 3551675
Content provided by SiliconANGLE. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SiliconANGLE or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This episode of the SecurityANGLE features host Shelly Kramer, managing director and principal analyst at theCUBE Research, and Jo Peterson, analyst, engineer, and member of theCUBE Collective community of independent analysts and Teradata CISO Billy Spears for a conversation exploring data warehouse security strategies.

Today, the average size of a modern data warehouse is over 100 terabytes. For comparison purposes, Walmart achieved the first 1 terabyte data warehouse in 1991.

Data warehouses store data from a variety of sources, including customer information, product information, employee-related personnel information, sales records, and invoices. They are designed to support decision-making through data collection, consolidation, analytics, and research.

We’ve seen the data warehouse evolve into variations: data lakehouse, data cube, data silo, and even a data swamp. And what all of these repositories have in common besides data is the need for security, which is exactly why we're excited to have Billy Spears as our guest today.

Billy is on the CNBC Tech Executive Council, he's a venture advisor for Avenir, a product advisory board member for Palo Alto Networks, a cybersecurity board advisor for Cyvatar — and all this advisory work is work he does in addition to his role as CISO at Teradata.

Our conversation today covered:

- Security concerns that arise when building a data warehouse

- Best practices for data warehouse security

- The impact of concepts like applying the principle of least privilege and Zero Trust Network Access

- How utilizing AI can help as it relates to security and access control in a data warehouse environment.

- Balancing the risk while also utilizing cost-effective ways to protect different categories of data in accordance with the varying degrees of protection required by each.

  continue reading

25 episodes

Artwork
iconShare
 
Manage episode 446376087 series 3551675
Content provided by SiliconANGLE. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by SiliconANGLE or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

This episode of the SecurityANGLE features host Shelly Kramer, managing director and principal analyst at theCUBE Research, and Jo Peterson, analyst, engineer, and member of theCUBE Collective community of independent analysts and Teradata CISO Billy Spears for a conversation exploring data warehouse security strategies.

Today, the average size of a modern data warehouse is over 100 terabytes. For comparison purposes, Walmart achieved the first 1 terabyte data warehouse in 1991.

Data warehouses store data from a variety of sources, including customer information, product information, employee-related personnel information, sales records, and invoices. They are designed to support decision-making through data collection, consolidation, analytics, and research.

We’ve seen the data warehouse evolve into variations: data lakehouse, data cube, data silo, and even a data swamp. And what all of these repositories have in common besides data is the need for security, which is exactly why we're excited to have Billy Spears as our guest today.

Billy is on the CNBC Tech Executive Council, he's a venture advisor for Avenir, a product advisory board member for Palo Alto Networks, a cybersecurity board advisor for Cyvatar — and all this advisory work is work he does in addition to his role as CISO at Teradata.

Our conversation today covered:

- Security concerns that arise when building a data warehouse

- Best practices for data warehouse security

- The impact of concepts like applying the principle of least privilege and Zero Trust Network Access

- How utilizing AI can help as it relates to security and access control in a data warehouse environment.

- Balancing the risk while also utilizing cost-effective ways to protect different categories of data in accordance with the varying degrees of protection required by each.

  continue reading

25 episodes

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