
<p>AI is only as good as the layer underneath it. That layer in Databricks is called a Metric View: a semantic model that defines your measures, your joins, and the rules for how data fits together. </p><p>In this...


Deep dives and practical demos on the technologies shaping modern data and AI development. Join the Dataminded team as we explore, unbox, and critically review the latest tools, from building AI agents and RAG systems to optimizing cloud costs and accelerating data pipelines. We cut through the hype to show you what actually works in real data engineering practice, complete with demo code!
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Signup to Generate a PitchDeep dives and practical demos on the technologies shaping modern data and AI development. Join the Dataminded team as we explore, unbox, and critically review the latest tools, from building AI agents and RAG systems to optimizing cloud costs and accelerating data pipelines.
Recent episodes include "Metric Views in Databricks: The Missing Layer for AI Agents" (19 May 2026, 43 minutes), "Data Ingestion using PyAirbyte" (18 November 2025, 18 minutes), and "Accelerate Data Engineering using MCP Tools" (3 November 2025, 22 minutes).
Technology Explorations in Data & AI publishes roughly every two weeks, with episodes averaging 25 minutes across 15 episodes.
Booking probability for Technology Explorations in Data & AI is 37%, and the host is rated Selective on guests. Technology Explorations in Data & AI requires a Pod Score of 80 or higher. Technology Explorations in Data & AI's contact route on record: verified email.
The strongest fits for Technology Explorations in Data & AI are IT Services & Software Development and Cloud, Data & Web Hosting.
Technology Explorations in Data & AI is a general podcast with 15 episodes published.
Our AI reads these to draft pitches. Use them as grounding for a pitch that cites a real guest and a specific topic.

<p>AI is only as good as the layer underneath it. That layer in Databricks is called a Metric View: a semantic model that defines your measures, your joins, and the rules for how data fits together. </p><p>In this...

Episode #4
<p>Move your Google Drive documents straight into Postgres using Python and PyAirbyte. In this Technical Explorations episode, Jonny and Tarik from Dataminded show how they ingest internal meeting transcripts (Facts at...

<p>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...

Technology Explorations in Data & AI
<p>In this special episode on the AWS outage, Stijn De Haes explains what happened during the AWS October 2025 Outage. He then zooms in on the limited effect it had on Dataminded and its product Conveyor. Finally, Stijn...

<p>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...

<p>Emil Krause and Jonny Daenen explore the claim that speech-to-text makes you three times as fast. Emil shows the functionalities and benefits of SuperWhisper and Whisper Assistant, two innovative speech-to-text tools...
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