Data Products | A Guide to Data Products
Practical guide to data products: definition, rulebook, business canvas, MVDP, ownership, sharing, quality, SLO, change/deprecation and measuring value. Read More
Five Architecture Choices to Make Before Your Data and Analytics Renewal Begins
Five architecture choices that should be made before building starts -- to reduce risk, avoid technical debt and increase delivery speed in data and analytics programs. Read More
Glitni | Summary of the Second Half of 2025
Read our honest summary of the second half of 2025 at Glitni. We look back at new clients - and a new office. Read More
How a community of practice can regain control of data engineering standards
How do you go from the wild west of data pipelines to reusable factory patterns — without undermining decentralised product teams? In this article, we look at how a small community of practice can coordinate shared learning and take responsibility for standards, patterns and tools for data engineering. Read More




