Technology Explorations in Data & AI
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!
Episodes
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 full stack end-to-end on a real LEGO dataset: building Metric Views in Databricks, generating them with dbt, deploying through Databricks Asset Bundles, and finally exposing it all through a G...
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 plain English into SQL, runs it, and gives you a chart back. No analysts involved.
Jelle builds the full setup live: semantic view, verified queries, Cortex Agent, access control. They get honest a...
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 been exploring how to tackle this using Agno, an agent framework built around deterministic workflows. Instead of letting a single agent roam freely across your data, Agno lets you build specialize...
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 keyboard, drill into failed tasks, tail live logs, bulk-mark runs -- no browser, no mouse. In this episode Jan demos it live, walks through the architecture of a TUI (event loop, state, render), compare...
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 -- Ground, Explore, Decide, Stress, Ship -- before you commit to anything. The output is an architectural decision record and an implementation plan you actually own.
In this episode he demos it live, s...
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 skills fix this -- packaging repeatable workflows into modular components that load only when needed. He demos two real examples: an Explain Code skill and a PR Review skill that forks context, limit...
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 log inspection. Switching application logs to Basic Logs can reduce Log Analytics costs by up to 60%.
In this episode, Niels walks us through a real customer case where logging costs dropped by tho...
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 Hannes De Smet shows Jonny what he learned after exploring several AI Code Reviewers. Hannes demos both tools on a real code change, allowing a critical look at the quality of the suggestions, a...
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 application resources, which also needs a Terraform change in a second project. Along the way, we discover how important human involvement still is...
You'll learn how to:
- Set up Cursor workspac...
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 search.
You'll see how to:
- Convert internal documents into a semantic knowledge base
- Make Google Drive & Slack data queryable in minutes
- Build a custom AI Agent on top of your knowledge bases
- Run Minds...
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 Over Lunch) from Google Drive into a relational table, ready for querying and AI use cases.
You'll see how to:
- Configure PyAirbyte to read from a Google Drive folder
- Authenticate with a Google servi...
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.
They discuss the setup of a database MCP server, demonstrate its capabilities in troubleshooting data inconsistencies, and highlight the importance of understanding data even when us...
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 gives 4 tips on how to protect yourself from this kind of outage.
Resources:
- Blog post: https://hubs.li/Q03PQKrR0
- Click here to watch a video of this episode.
- Full playlist: https://www.youtube.com/playlist?li...
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 of MCP, how to build an MCP server, and the developer flow for creating tools. The conversation also touches on the compatibility of MCP with different AI agents and the user experi...
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 designed to enhance productivity.
They discuss the installation process, user experience, and the accuracy of these tools. Emil shares insights on how these tools can streamline workflows, particularly for those w...
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