
Stay current on data tools without sitting through hour-long tutorials. Each episode, Jonny Daenen and a Dataminded engineer pick a tool or technique worth knowing and demo it live. 15-20 minutes: long enough to see something real, short enough to watch on a lunch break.
| Publishes | Daily | Episodes | 3 | Founded | 46 hours ago |
|---|---|---|---|---|---|
| Category | Technology | ||||

Emil Krause & Jonny Daenen explore how to accelerate dbt development by integrating MCP (Model Context Protocol) with Postgres and Cursor. Emil demonstrates how to solve a database bug by allowing AI agents to interact directly with databases and his... more
In this special episode on the AWS outage, Stijn De Haes explains to us what happened during the AWS October 2025 Outage. He then zooms in on the limited effect it had on Dataminded and its product Conveyor. And finally he gives 4 tips on how to prot... more
In this conversation, Jonny Daenen and Pierre Crochelet explore the Model Context Protocol (MCP), a framework that enhances AI assistants by allowing them to perform various tasks through tools, resources, and prompts. They discuss the architecture o... more
How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.
Apple Podcasts | #55 |










Listeners, social reach, demographics and more for this podcast.
| Gender Skew | Location | Interests | |||
|---|---|---|---|---|---|
| Professions | Age Range | Household Income | |||
| Social Media Reach | |||||
Rephonic provides a wide range of podcast stats for Technology Explorations in Data. We scanned the web and collated all of the information that we could find in our comprehensive podcast database. See how many people listen to Technology Explorations in Data and access YouTube viewership numbers, download stats, audience demographics, chart rankings, ratings, reviews and more.
Rephonic provides a full set of podcast information for three million podcasts, including the number of listeners. View further listenership figures for Technology Explorations in Data, including podcast download numbers and subscriber numbers, so you can make better decisions about which podcasts to sponsor or be a guest on. You will need to upgrade your account to access this premium data.
Rephonic provides comprehensive predictive audience data for Technology Explorations in Data, including gender skew, age, country, political leaning, income, professions, education level, and interests. You can access these listener demographics by upgrading your account.
To see how many followers or subscribers Technology Explorations in Data has on Spotify and other platforms such as Castbox and Podcast Addict, simply upgrade your account. You'll also find viewership figures for their YouTube channel if they have one.
Technology Explorations in Data launched 46 hours ago and published 3 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.
Our systems regularly scour the web to find email addresses and social media links for this podcast. We scanned the web and collated all of the contact information that we could find in our podcast database. But in the unlikely event that you can't find what you're looking for, our concierge service lets you request our research team to source better contacts for you.
Rephonic pulls ratings and reviews for Technology Explorations in Data from multiple sources, including Spotify, Apple Podcasts, Castbox, and Podcast Addict.
View all the reviews in one place instead of visiting each platform individually and use this information to decide if a show is worth pitching or not.
Rephonic provides full transcripts for episodes of Technology Explorations in Data. Search within each transcript for your keywords, whether they be topics, brands or people, and figure out if it's worth pitching as a guest or sponsor. You can even set-up alerts to get notified when your keywords are mentioned.