Episode 222: Azure Arc-enabled Data Services

Episode 222: Azure Arc-enabled Data Services

Episode 222: Azure Arc-enabled Data Services 560 420 Carlos L Chacon

Azure Arc-enabled data services provide powerful capabilities to deploy and manage local, on-premises, and hybrid cloud data resources using the same centralized management and tooling you get from the Azure cloud. Since Eugene suggested our previous attempt at Azure Arc was insufficient, we invited Ben Weissman and Anthony Nocentino, authors of the book Azure Arc-Enabled Data Services Revealed, to the podcast to discuss how this technology came about and why the future looks very exciting.

Headshot of podcast guest Ben Weissman

Our Guests

Ben Weissman

Ben Weissman has been working with SQL Server since SQL Server 6.5, mainly in the Business Intelligence and data warehousing field. He is a Data Platform MVP and Author of multiple books including “SQL Server Big Data Clusters” and “Azure Arc-enabled Data Services”. He also published multiple Pluralsight Video courses and briefings. He may or may not be currently working on his next book with Anthony already. If he isn’t currently in a pandemic or working with data, he is most probably out for a run, for dinner or to explore the world.

Headshot of podcast Guest Anthony Nocentino

Anthony Nocentino

Anthony Nocentino is the Founder and President of Centino Systems as well as a Pluralsight Author and a Microsoft Data Platform MVP, Linux Expert, and co-author of the book Azure Arc Enabled Data Services Revealed by APress. Anthony’s technology focus includes SQL Server, Containers, Kubernetes and Linux.

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“Arc is the over-arching umbrella. The long story short about Azure Arc is that it extends ARM to wherever you have stuff.”

Anthony Nocentino

3 Takeaways

  1. You can use Azure Arc to start managing on-premises environments.
  2. Kubernetes is baked into the architecture, but you don’t have to become an expert at it.
  3. Azure Arc can allow a single team to manage multiple environments instead of being siloed by platform.

Imagine what’s possible with a dedicated SQL specialist on your team.

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