John Martin
Data Platform and Cloud Specialist.
Aberdeen, United Kingdom
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John is an experienced data platform professional having spent over fifteen years working with Microsoft SQL Server, Azure, and AWS technologies. Working closely with clients to solve their data platform problems with innovative solutions with a focus on simplicity, maintainability, and automation.
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What is technical debt and how can we find it?
Technical debt is something every technical professional has encountered, and most will tell you they know exactly what it is. But do they? Without a shared definition, it becomes the problem that never gets prioritised, the risk that never gets funded, and the silent drag on delivery that compounds over time.
In this session we'll establish what technical debt actually is, why organisations struggle to address it, and why treating it as a business liability rather than a technical inconvenience changes the conversation.
Then we'll get practical. Your Git repositories are a goldmine of behavioural data. We'll walk through how to mine them to surface the debt that matters most, hotspot analysis, change coupling, stale code, and commit message patterns. We'll also look at how observability, CI/CD tooling, and incident data can be combined with Git signals to build a complete picture.
Finally, we'll look at AI, both as a source of new technical debt and as a tool for managing it. You'll leave with a clear framework for defining, finding, and prioritising technical debt, and the practical tools to start making it visible to the people who need to act on it.
Industrial Revolution 5.0 - Agentic AI, the modern spinning jenny?
Are we living through the 5th Industrial Revolution? The spinning jenny didn't just make cloth faster. It reshaped entire industries, displaced old ways of working, and created opportunities nobody had imagined. Agentic AI has the potential to do the same.
AI is woven into everyday life, but awareness isn't the same as value. Many adopters are finding that ungoverned AI investments lead to runaway costs, inconsistent outputs, and eroded trust. The organisations seeing real returns are automating intelligently, with purpose and with guardrails.
In this session we'll draw parallels between the first industrial revolution and the AI era, exploring why Agentic AI represents the inflection point where potential becomes productivity. We'll cover what agentic systems are, the principles that underpin them, and the art of the possible grounded in real-world thinking rather than vendor hype.
We'll also tackle the elephant in the room: will AI take our jobs? History has a nuanced answer, and understanding it is critical to navigating what comes next. AI is a powerful technology that demands thoughtful adoption, and we'll be honest about the risks alongside the opportunity.
You won't leave with all the answers. You will leave knowing the right questions to ask, how to identify the processes worth automating, and how to think about AI investment in a way that delivers tangible, sustainable value.
On-Demand Environments with Amazon Database Services
Persistent non-production database environments are a hidden tax on engineering teams, expensive to run, time-consuming to maintain, and a real security risk. Yet most organisations accept them as the cost of doing business. They don't have to.
In this session we'll explore how Amazon RDS and Aurora provide the building blocks for a true on-demand model, where environments exist only when needed, are created consistently from controlled source images, and are torn down automatically when they're not.
We'll walk through the automation patterns that make this work in practice, building source images, spinning up environments on demand for developers, and integrating ephemeral databases into CI/CD pipelines so every build gets a clean, consistent environment without the overhead of keeping one running around the clock.
If your teams are wrestling with slow provisioning, environment drift, or the overhead of managing non-production infrastructure, this session will give you a practical path to doing it differently.
SQL Konferenz 2025 Sessionize Event
Fabric February 2025 Sessionize Event
SQL Saturday Oregon/SW Washington 2024 Sessionize Event
dataMinds Connect 2024 Sessionize Event
Techorama 2024 Netherlands Sessionize Event
SQL Konferenz 2024 Sessionize Event
Future Data Driven Summit 2024 Sessionize Event
DATA:Scotland 2024 Sessionize Event
Data Saturday Oslo 2024 Sessionize Event
Data Toboggan - Cool Runnings 2024 Sessionize Event
Data Left Unattended - Cambridge Sessionize Event
Data Céilí 2024 Sessionize Event
SQLBits 2024 - General Sessions Sessionize Event
dataMinds Connect 2022 Sessionize Event
Techorama Netherlands 2022 Sessionize Event
Data Relay 2022 Sessionize Event
Data Saturday Oslo 2022 Sessionize Event
SQLDay 2022 Sessionize Event
SQLBits 2022 Sessionize Event
Data Saturday Southwest US Sessionize Event
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