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Technology Explorations in Data & AI

by Dataminded
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Latest episodes

  • Metric Views in Databricks: The Missing Layer for AI Agents

    May 19, 2026 · 43 min

    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.  In this episode, Stefan walks through the…

  • Snowflake Intelligence: The End of Dashboards?

    May 7, 2026 · 53 min

    Your dashboards only answer the questions you thought of last quarter. Every new question is a ticket, a dependency, or a gut call. Snowflake Intelligence wants to fix that -- a chat interface on top of governed enterprise data that turns…

  • AI Workflows in Agno: Building Deterministic Agents

    April 23, 2026 · 22 min

    Enterprise data is full of sensitive information: different teams, different access rights, different rules. When you ask an AI agent a simple question and get "access denied," it's not a permissions bug. It's a design problem. Pascal has…

  • Managing Airflow at Scale using the Flowrs TUI

    April 8, 2026 · 24 min

    Jan opens 12 browser tabs every morning to check overnight pipelines. Log in, check, close. Twelve times. So he built a terminal app instead. Flowrs is a TUI for Apache Airflow written in Rust. Navigate all your environments from the…

  • Building an AI Agent with Subagents and Skills

    March 10, 2026 · 32 min

    Every time you ask AI for help, it agrees. Fast, confident, and it never tells you your plan has holes. That's the problem Arete is built to fix. Jesus built a brainstorm agent on Claude Code skills that guides you through five phases…

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  • From Prompts to Agents: AI Agent Skills in Claude Code

    February 24, 2026 · 25 min

    AI agents get messy fast once you move beyond simple prompts. Context windows fill up with noise, agents start reasoning in loops, and suddenly you're dealing with brittle behavior and hallucinations. Jesus walks through how Claude Code…

  • Azure Log Analytics Costs Are Out of Control - Here's How We Cut Them by 60%

    February 2, 2026 · 26 min

    Azure Log Analytics costs often take up 20% or more of a cloud bill, even though most teams only check logs when something breaks. Azure's default analytics logs are powerful, but they're also expensive and often unnecessary for day-to-day…

  • AI Code Reviews with CodeRabbit and Sourcery

    January 21, 2026 · 23 min

    Code reviews are often considered a pain, resulting in quick approvals and bugs reaching production. CodeRabbit and Sourcery aim to solve this by letting an AI agent review your changes early on. In this episode, data & platform engineer…

  • Cross-Project AI Code Assistance using Cursor Workspaces

    December 23, 2025 · 20 min

    Emil shows how to let his Cursor AI access and manipulate multiple projects at the same time. He does this by leveraging the Cursor Workspace feature, which enables you to link multiple repositories together. His demo shows how to increase…

  • Build a RAG-based Agent with MindsDB

    December 8, 2025 · 21 min

    In this Technical Exploration, Jonny and Tarik show how to build a fully functioning RAG-based AI agent using MindsDB, turning internal data from Postgres, Slack, or Google Drive into a queryable knowledge base powered by semantic…

  • Data Ingestion using PyAirbyte

    November 18, 2025 · 18 min

    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 Breakfast, Learning…

  • Accelerate Data Engineering using MCP Tools

    November 3, 2025 · 22 min

    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…

Full episode archive on Apple Podcasts →

About the show

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!