Technology Explorations in Data & AI

Dataminded
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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!

  1. ١٩ مايو ·  فيديو

    Metric Views in Databricks: The Missing Layer for AI Agents

    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 Genie Space that business users can chat with. Along the way we get into some deeper questions:  what the limits of metric views look like, how access control works, what BI "shifting left" actually means for engineering teams, and how you organize this in data products. If you saw our Snowflake Intelligence episode, this is the Databricks counterpart. The Snowflake episode can be found here: https://www.youtube.com/watch?v=Gp-BntPgpcU Resources:- Demo code: https://github.com/datamindedbe/demo-technology-exploration- [episode-specific links here] Creators & Guests Jonny Daenen - Host Stefan Van Raemdonck - Guest --- Click here to watch a video of this episode. Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb (00:00) - Chapter 1 (00:00) - Intro (00:50) - Meet Stefan (01:43) - Demo: talking to your LEGO data (07:17) - Why semantic layers? Data products explained (11:20) - What's in a metric view? (14:15) - Creating Metric Views in Databricks (16:29) - The LEGO data model (18:17) - Data Products & Metric Views in Databricks (22:07) - Are we limited to predefined measures? (23:16) - Building: native Databricks SQL bundles (29:12) - Building: dbt (31:16) - Maintenance and BI shifting left (33:59) - Deploying dbt on Databricks (35:29) - Creating the Genie Space (38:24) - Access Control and Permissions in Data Queries (39:28) - Writing SQL on top of Metric Views (40:10) - Takeaways and favorite Lego ---Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype. Music by Aleksandr Karabanov from Pixabay

  2. ٧ مايو ·  فيديو

    Snowflake Intelligence: The End of Dashboards?

    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 about what this actually requires -- data quality, governance, and whether Snowflake is worth the cost. Resources:- Snowflake Intelligence docs: https://docs.snowflake.com/en/user-guide/snowflake-intelligence- Demo code: https://github.com/datamindedbe/demo-technology-explorationCreators & Guests Jonny Daenen - Host Jelle De Vleminck - Guest ---Click here to watch a video of this episode. Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb --- Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype. Music by Aleksandr Karabanov from Pixabay

  3. ٢٣ أبريل ·  فيديو

    AI Workflows in Agno: Building Deterministic Agents

    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 specialized agents, each with its own access rules and instructions. Workflows orchestrate these agents with guardrails that keep humans in the loop when it matters. In this episode, Pascal Knapen, CTO at Dataminded, demos the full flow: from a natural language question, through an access check, to a verified answer. We explore how skills differ from workflows, how Agno handles dynamic agent creation and deployment, and how LLM-based evaluations act as a quality judge for agent responses. Additional Resources: Demo code: https://github.com/datamindedbe/demo-technology-exploration/tree/main/demos/agno-workflowsCreators & Guests Pascal Knapen - Guest Jonny Daenen - Host ---Click here to watch a video of this episode. Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb --- Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype. Music by Aleksandr Karabanov from Pixabay

  4. ٨ أبريل ·  فيديو

    Managing Airflow at Scale using the Flowrs TUI

    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), compares the main frameworks (Ratatui, Bubble Tea, Textual), and gives his honest take on whether agents will eventually replace tools like this. "Go forth and mulTUIply. Life is too short to click around." Resources:- Install Flowrs: brew install flowrs- GitHub: https://github.com/janbvanbuel/flowrs ---Creators & Guests Jonny Daenen - Host Jan Vanbuel - Guest Click here to watch a video of this episode. Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb--- Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype. Music by Aleksandr Karabanov from Pixabay

  5. ١٠ مارس ·  فيديو

    Building an AI Agent with Subagents and Skills

    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, shows how parallel subagents work without polluting your main context, and answers the honest questions: tokens burned, vendor lock-in, debugging subagents, and whether this works with a team. Resources:- Install Arete: https://github.com/jesgarram/arete- Demo code: https://github.com/datamindedbe/demo-technology-exploration --- Creators & Guests Jonny Daenen - Host Jesús García Ramírez - Guest Click here to watch a video of this episode. Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb (00:00) - Intro & meeting Arete (01:38) - The 5-step brainstorm workflow (04:05) - Meta: This video was made with an AI skill (06:02) - The demo: ground, explore, decide, stress, ship (14:56) - Example results: ADR and Plan (17:23) - Subagents and context engineering (21:12) - Demo: the Researcher Agent (22:48) - Practical concerns: vendor, files, big projects (25:30) - How many tokens does it burn? (26:51) - Control, agents vs skills, multi-human (29:44) - How to install Arete (30:44) - Wrap-up ---Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype. Music by Aleksandr Karabanov from Pixabay

  6. ٢٤ فبراير ·  فيديو

    From Prompts to Agents: AI Agent Skills in Claude Code

    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, limits tool permissions, and uses CLI commands to analyze pull requests. Resources:- Demo code: https://github.com/datamindedbe/demo-technology-exploration/tree/main/demos/agent_skills- Anthropic docs: https://platform.claude.com/docs/en/agents-and-tools/agent-skills/overview- Skills standard: https://agentskills.io- Curious about MCP? https://youtu.be/fIr55-koOJQ --- Creators & Guests Jonny Daenen - Host Jesús García Ramírez - Guest Click here to watch a video of this episode. Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb--- Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype. Music by Aleksandr Karabanov from Pixabay

  7. ٢ فبراير ·  فيديو

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

    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 thousands per year. They explain the difference between Analytics, Basic, and Auxiliary logs, show when Basic Logs are sufficient, and discuss practical setups using Azure Container Insights and FluentBit. This includes building a custom FluentBit plugin in Go as well as real-world gotchas like missing short-lived pods and why dynamic credentials matter. Creators & Guests Jonny Daenen - Host Niels Claeys - Guest Resources: Custom FluentBit plugin: https://github.com/nclaeys/fluent-bit-go-azureClick here to watch a video of this episode. Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb Chapters: Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype. Music by Aleksandr Karabanov from Pixabay

  8. ٢١ يناير ·  فيديو

    AI Code Reviews with CodeRabbit and Sourcery

    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, as well as the user experience. It turns out that, depending on the context, both could use some improvements. Resources: CodeRabbit: https://www.coderabbit.aiSourcery: https://www.sourcery.ai/Multi-workspace AI video: https://www.youtube.com/watch?v=E_kOAvmeTJ0Note: This video is not sponsored or affiliated with CodeRabbit or Sourcery. Creators & Guests Jonny Daenen - Host Hannes De Smet - Guest Resources: Click here to watch a video of this episode. Full playlist: https://www.youtube.com/playlist?list=PLJ_da7qdfL80rA7byzC_CmyrfJWjcCTnb Chapters: Data & AI: Technology Explorations is a biweekly show from Dataminded. Each episode a Dataminded engineer demos a tool or technique worth knowing about -- working code, honest takes, no hype. Music by Aleksandr Karabanov from Pixabay

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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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    Dataminded
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    Technology Explorations in Data & AI