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Data Mesh TV, Podcast Edition
Starburst
21 episodes
9 months ago
A monthly educational program about data monetization, aligning data strategy with business goals, and accelerating digital transformation initiatives with Data Mesh. For data leaders, by data leaders.
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Management
Technology,
Business
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All content for Data Mesh TV, Podcast Edition is the property of Starburst and is served directly from their servers with no modification, redirects, or rehosting. The podcast is not affiliated with or endorsed by Podjoint in any way.
A monthly educational program about data monetization, aligning data strategy with business goals, and accelerating digital transformation initiatives with Data Mesh. For data leaders, by data leaders.
Show more...
Management
Technology,
Business
https://is1-ssl.mzstatic.com/image/thumb/Podcasts122/v4/85/52/1a/85521ae7-8bb7-bd00-50a3-0aab0cbcb289/mza_4652776771959513483.png/600x600bb.jpg
Transforming to enable agile analytics
Data Mesh TV, Podcast Edition
32 minutes 6 seconds
2 years ago
Transforming to enable agile analytics
Today, it’s not enough to have a vision of what an organization’s future technology stack would look like. As we design and build that technology stack, we need to make sure that we are focused on adoption and user enablement. Sure, we want to know what is happening on the back end, but enablement is a key piece in deriving business value from data. Moreover, data analytics is now something that can only be done by everyone, not just data scientists. There will always be new and more data — it’s vital that everyone in the business is enabled with self-service analytics. In this episode of #DataMeshTV, Brett Thebault, Co-Founder at Aginic and Adrian Estala, VP, Field Chief Data Officer at Starburst, build the case for why enabling teams will help them discover critical data-driven business insights.
Data Mesh TV, Podcast Edition
A monthly educational program about data monetization, aligning data strategy with business goals, and accelerating digital transformation initiatives with Data Mesh. For data leaders, by data leaders.