Getting started with Data Products
Online

Getting started with Data Products

Your half day intro to Data Products

en 21 May 2026 – 21 May
Led by
Mario Meir-Huber
Mario Meir-Huber AI & Data Leader | Author of “Designing Data Products”

Programme

Data Products Kickstart

Day 1
14:00
Workshop Segment Introduction to Data Products, Frameworks

In this session, we will learn what Data Products are—and what they aren’t....

90 min
15:30
Break Coffee Break

Let's have some coffee and discuss :)

30 min
16:00
Workshop Segment Technical Aspects of Data Products

In this session we will walk through the end-to-end journey of a Data...

90 min

What you'll learn

  • Data Product Fundamentals
  • Key Frameworks & Standards
  • Architecture Patterns
  • Technical Design Principles
  • From Concept to First Data Product

About this workshop

No fluff, no theory overload. Just what you need to hit the ground running. In this focused half-day session, you'll get a hands-on introduction to Data Products: what they are, how they're structured, and which frameworks actually matter in practice. From there, we dive straight into the technical foundation. You'll explore architecture patterns, design principles, and the building blocks that turn raw data into reliable, reusable products. Whether you're kicking off your first Data Product initiative or looking to sharpen your technical approach, this workshop gives you the clarity and confidence to start delivering fast.

Your instructors

Mario Meir-Huber
Mario Meir-Huber AI & Data Leader | Author of “Designing Data Products”

Mario Meir-Huber helps organizations turn scattered data initiatives into governed, business-driven Data Products. A former Head of Data and ex-Microsoftie, he has built Data Products across European companies. He created the GAP (Governance–Architecture–People) model and the DRIVE lifecycle framework and applies them in real engagements. Mario lectures at WU Vienna and TU Wien, teaches on LinkedIn Learning and speaks at events like WeAreDevelopers, Data Modelling Zone, London Tech Week, Data Science Conference and GITEX. He co-authored Handbook Data Science & AI and is writing The Data Products Series.

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