22-25 April 2026

Barry Smart

Barry has spent over 25 years in the tech industry; from developer to solution architect, business transformation manager to IT Director, and CTO of a £100m FinTech company. In 2020 Barry's passion for data and analytics led him to gain an MSc in Artificial Intelligence and Applications. He is happiest when he's at a whiteboard sketching out a process, architecture, roadmap or solving a problem. He's got a gift for taking complex ideas and presenting them in a way that technical and non-technical audiences can grok. He has a passion for simplifying the complex, and helping organisations use technology to transform and amplify their impact.

Barry Smart's Sessions

No-Compromise Data Apps: Why Streamlit is the Missing Piece in Your Analytics StackSQLBits 2026

Hitting the limits of Power BI? Discover Streamlit – the Python package that lets you build stunning, interactive data apps in minutes, not months. See real-world examples, learn to build your first app, and turn your users from passive dashboard viewers into active data explorers.

Spark Unplugged: How In-Process Analytics Is Making Distributed Computing An Expensive InvestmentSQLBits 2026

What if the most powerful analytics engine is already on your laptop? We've been told serious data work demands distributed computing and complex pipelines – but tools like DuckDB and Polars are proving otherwise. Learn how in-process engines can outperform Spark, slash complexity, be leveraged on Microsoft Fabric and leave you wondering: have we been overengineering all along?

Microsoft Fabric and Data Mesh - a perfect fit?SQLBits 2024

Unlock the full potential of Microsoft Fabric by establishing domain-orientated ownership and federated computational governance to deliver high impact data products in your organisation.

Turbo charge your Data Science workflow with Microsoft FabricSQLBits 2024

Microsoft Fabric brings a range of powerful capabilities into one SaaS platform, empowering "full stack" data scientists to achieve more. Learn how new tools such as MLflow, Semantic Link can be leveraged to transform the way that we develop machine learning models.

How to create a high performance data team: lessons learned from the fieldSQLBits 2023

Barry will describe the key factors in establishing a high performance data and analytics team within an organisation.