Welcome to the DataCentric podcast, where we delve into the latest developments in information technology, offering insights into its intricate workings and broader implications. Hosted by Steve McDowell, Senior Analyst at NAND Research, our podcast explores new technologies, influential trends, and provides expert commentary on the forward trajectory of the technology industry. Join us as we navigate the complex landscape of IT. Whether you're an industry professional or simply curious about the future of technology, DataCentric is your trusted source for informed discourse and forward-thinking analysis.
DataCentric
Claim This Podcastby NAND Research
5.0(8 reviews)
102 episodes
Updated Daily
Accepts GuestsHas Sponsors
Podcast Overview
Welcome to the DataCentric podcast, where we delve into the latest developments in information technology, offering insights into its intricate workings and broader implications. Hosted by Steve McDowell, Senior Analyst at NAND Research, our podcast explores new technologies, influential trends, and provides expert commentary on the forward trajectory of the technology industry. Join us as we navigate the complex landscape of IT. Whether you're an industry professional or simply curious about the future of technology, DataCentric is your trusted source for informed discourse and forward-thinking analysis.
Language
🇺🇲
Publishing Since
12/7/2018
1 verified contact email on file for DataCentric
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes
February 23, 2023
Keeping your Data Center Cool with 2-Phase Immersion Cooling
Hosts Matt Kimball and Steve McDowell interview Todd Richard and Trent Edwards of Mears Group about their innovative 2-Phase Immersion Cooling technology for data centers.
February 16, 2023
Taming Digital Transformation: A Conversation with Persistent Systems' Dominique Bastos
Host Matt Kimball and Steve McDowell interview Persistent Systems' Dominique Bastos about balancing on-prem and off-prem cloud strategies for digital transformation success.
January 26, 2023
Taming the MultiCloud Problem, with Nutanix's Lee Caswell
Nutanix's Lee Caswell discusses taming multi-cloud challenges with hosts Matt Kimball and Steve McDowell, offering insights for IT administrators and architects.
102 total episodes available
Recent guests on DataCentric
Guests from recent episodes — sign up to see every guest that has ever appeared on this show.
Todd Richard
Guest
Trent Edwards
Guest
Dominique Bastos
Guest
Lee Caswell
Guest
Mark Maguire
Guest
Aaron Delp
Guest
Nipun Agarwal
Guest
Jason Andersen
Guest
Larry Genovesi
Guest
Gary Cohen
Guest
Jeff Morris
Guest
Tim Liu
Guest
Deep-dive analytics for DataCentric
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 DataCentric?
- 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.