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Technology Explorations in Data & AI

Dataminded
Dataminded
Mindsdb
MCP
Postgresql
Cursor
Azure
Claude Code
DBT
AI Agents
Pyairbyte
Log Analytics
Cloud Desktop
IAM
Model Context Protocol
Superwhisper
Coderabbit
Sourcery
Cursor Workspaces
Airbyte
Snowflake

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!

PublishesWeeklyEpisodes14Founded4 months ago
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Artwork for Technology Explorations in Data & AI

Latest Episodes

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 Engli... more

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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 explo... more

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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... more

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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, Exp... more

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Recent Guests

Stijn De Haes
Technical lead at Convair
Convair
Episode: When AWS Fails. How to Prevent Crippling Your Infrastructure

Host

Jonny
Host of the show and lead discussion facilitator at Dataminded (Data Minded).

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Apple Podcasts
#79
Belgium/Technology
Apple Podcasts
#205
Sweden/Technology

Talking Points

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AWS Outage: When The Cloud Fails...
Q: What happened at AWS and how did it hit you?
The outage was caused by a misconfiguration affecting the DNS and DynamoDB-related endpoints, which disrupted global IAM services and prevented changes to access rights while many services kept running. The Dataminded team experienced alerting gaps and found that their own systems still functioned but could not roll out updates or changes, highlighting the importance of regional endpoints and local registries.
AI Workflows in Agno: Building Deterministic Agents
Q: What are your main takeaways after trying Agno in production or near-production setups?
Agno is a strong Python-based framework with batteries included for agents, teams, and workflows; it supports deterministic execution, extensive tooling, and on-the-fly deployment, though like any system it has some limitations that are worth understanding in real-world contexts.
AI Workflows in Agno: Building Deterministic Agents
Q: Before we dive in, could you quickly introduce yourself and your role at Dataminded?
I'm Pascal, the CTO of Dataminded, responsible for our technical vision and the products, including Conveyor and the Data Product Portal, and I'm here to explain how Agno helps build deterministic data workflows.
Build a RAG-based Agent with MindsDB
Q: Can you run MindsDB locally and expose an API for your own apps?
Yes. You can run MindsDB via Docker Compose locally and then query agents through MindsDB's API or SDK to power your own interfaces like Streamlit apps.
Build a RAG-based Agent with MindsDB
Q: How do you create and populate a knowledge base in MindsDB?
You connect to a data source (like Postgres), define a knowledge base with specific columns including a content column, then ingest data to generate embeddings and populate the knowledge base.

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Frequently Asked Questions About Technology Explorations in Data & AI

What is Technology Explorations in Data & AI about and what kind of topics does it cover?

Technology Explorations in Data showcases hands-on exploration of data engineering, AI tooling, and cloud optimization through practical demos and real-world workflows. Episodes often center on building and testing AI agents, RAG-like setups, cross-repo workflows, cost-conscious cloud architectures, and tooling integrations that speed up data work. A recurring strength is concrete, step-by-step demonstrations (live coding, setups, and trade-offs) that help practitioners assess what's viable in production, from local vs. cloud pipelines to security and governance considerations. The show tends to feature engineers and practitioners from notable data and cloud teams, offering technical depth with approachable explanations, making it valuable ... more

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1. The Startup Ideas Podcast
2. Leveraging AI
3. The Ezra Klein Show

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Technology Explorations in Data & AI launched 4 months ago and published 14 episodes to date. You can find more information about this podcast including rankings, audience demographics and engagement in our podcast database.

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