From Heart Rate to H3: Six Ways to Think About Your Running Data in Oracle 26ai
I'm a passionate runner. And like many data enthusiasts, I can't resist collecting data about the things I care about. This post is both a personal reflection on my training and a hands-on tour of how Oracle can model very different questions - from streets you run...
The Art Of Data Tech Unlearning: Which Habits We Need to Drop Now
In the rapidly evolving landscape of 2026, Data Tech Unlearning has become a critical survival skill for architects and leaders. In the data world, we often define ourselves by the complexity of the tools we’ve mastered. Someone who spent years taming Spark clusters...
One Database, Six Workloads: Analyzing F1 Telemetry With Oracle Converged Database
The Complexity We Created Somewhere along the way, we convinced ourselves that specialized databases were the answer to everything. Need to store documents? Spin up DocumentDB X1. Time series data? Here's TimeseriesDB X2. Graph relationships? GraphDB X3. Vector...
The Data House: Strategy, Governance, Management, Security – Explained and Separated
In AI and data programs, a surprising amount of friction doesn’t come from technology - it comes from language. Terms like data strategy, data governance, data management, security, privacy, and compliance are often used interchangeably, even though they answer...
From Ticket-Takers to Value-Makers: Navigating 2026 Tech Predictions
In late 2025, the tech world is drowning in “2026 tech predictions” from every analyst and hyperscaler in the industry. But behind the buzzwords lies a shift that will define the next decade: the transition from technical execution to business judgment. What follows...
Agentic AI with DuckDB and smolagents: Natural Language Queries for Analytics
Agentic AI with DuckDB turns natural language queries for analytics from a nice idea into something you can actually run today. Many users don’t want to think in joins, window functions, or aggregate clauses — they just want answers. Here I’ll walk through how I use...
Data and Analytics Skills 2026+: Why You Need More Than a Full Toolbox
The demands on data professionals and leaders are changing rapidly. Technologies, methods and tools come and go – and with LLMs like ChatGPT, generic knowledge is increasingly automatable. This makes one question even more important: how do I position myself so that...
SQL in Jupyter Notebook (or Google Colab) – with DuckDB & JupySQL
If you live in Python notebooks all day, it’s only a matter of time until you want proper SQL right next to your code. No extra UI, no switching tools, just plain SQL with output. This article covers: Why running SQL inside a notebook is useful How to enable it in...
The illusion of simplicity: hidden reporting pitfalls of the Big-Table model
At first glance, a single denormalized big-table seems like a reporting hero: no joins, just one table to maintain, and demo queries that fly. But the honeymoon rarely lasts. When real-world business demands hit, the simplicity turns out to be an illusion—and the...
If It’s Easy, Is It Worthless? The Data Complexity Trap
If It’s Easy, Is It Worthless? Google Search, the iPhone, and countless other products prove the opposite: the simplest experience often delivers the highest value. So why do our data products still drift toward baroque complexity?Why complexity creeps in – three...
TDWI Munich 2025 Unleashed – My Key Take-Aways on Generative AI, Complexity Reduction & Data Governance
The TDWI Munich 2025 once again proved why it is an excellent event for data, analytics and AI professionals. Below you’ll find my personal notes and reflections from three packed days in the “Data Universe”.Generative AI: The Urgency and Opportunity Stephen Brobst...
From Raw Text to Ready Answers — A Technical Deep-Dive into Retrieval-Augmented Generation (RAG)
Large language models (LLMs) are astonishing pattern-completion engines, but they are also static archives: everything they “know” is baked into billions of parameters frozen at training time. Once the world changes—or your sensitive company manuals that are not...