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.

Data Mesh TV, Podcast Edition
Claim This Podcastby Starburst
Podcast Overview
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.
Language
🇺🇲
Publishing Since
12/16/2021
1 verified contact email on file for Data Mesh TV, Podcast Edition
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes

August 18, 2023
A journey to an agile data platform with Asurion
The transition to a modern data platform is crucial for many organizations — for their competitiveness and growth. Hear from Abhishek Nahar, Data Platform & Products Leader at Asurion and Starburst’s Adrian Estala, Field CDO about their personal viewpoints on what it means for them to from a legacy architecture to an agile data platform. Learning from their experience and other data professionals, it involves strategic decisions and a shift from a monolithic central engineering function to an agile, hybrid business-IT model. Data products also play a key role, empowering autonomous product teams to create and manage their solutions, all leveraging the same core platform. Looking ahead, the future holds immense potential, with advanced analytics, AI, and data partnerships driving further growth and transformation.

May 18, 2023
Building and maintaining the modern data platform

April 11, 2023
Accelerating environmental initiatives with data mesh
Since joining OS-Climate, Red Hat has been working with organizations to solve data & analytics challenges required to achieve Paris Climate Accord goals. A framework like data mesh could be helpful in accelerating some of what this environmental initiative is striving to achieve. Listen to Vincent Caldeira, Chief Technology Officer at Red Hat, APAC and Adrian Estala, VP, Field Chief Data Officer at Starburst discuss how vital it is to make climate data more available, enabling users with access and capabilities to solve important data climate problems.
21 total episodes available
Deep-dive analytics for Data Mesh TV, Podcast Edition
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is Data Mesh TV, Podcast Edition?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
Yes, this podcast regularly features guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.
