#Data Architecture

We’re excited to share the complete materials from our session at Flo 2025: Data’s Grand Tour — Navigating the Modern Data Architecture Maze. This 45-minute presentation covers the full landscape of modern data architectures, from …

This guide maps out the recommended reading order through the Data Architecture series and points you to the best external resources for hands-on learning at each stage. Whether you’re a complete beginner or an experienced engineer filling …

This glossary is written for business users, product managers, and data-adjacent stakeholders who need to understand what their data engineering teams are talking about. Each term includes a plain-English definition, the business impact it has, and a …

For decades, data platforms focused almost exclusively on structured data — rows and columns in relational tables. But 80–90% of enterprise data is unstructured: emails, documents, call recordings, product images, sensor readings, social media posts, …

Real-time data architecture answers a fundamental business question: “What is happening right now?” — fraud happening in the last 30 seconds, system anomalies in the last 5 minutes, inventory changes in the last hour. This guide covers …

Understanding individual architectures (Lake, Warehouse, Lakehouse) is one thing — but how do you actually pattern your data flows within them? This article covers the recurring design patterns that appear across every modern data platform. Medallion …

After exploring each architecture in depth, the critical question becomes: how do you choose? This article provides a structured comparison and a practical decision framework to help you select the right architecture for your organisation’s …

Open table formats are the technological revolution at the heart of the modern data lakehouse. They transform simple object storage (ADLS, S3, GCS) — which is fundamentally immutable and lacks any concept of transactions — into reliable, queryable, …

Microsoft Fabric (generally available since November 2023) is Microsoft’s answer to the fragmentation of the modern data stack. Rather than stitching together Azure Synapse, Azure Data Factory, Azure Data Lake, Power BI, and Azure Machine …

Data Mesh is not just a technology choice — it is a socio-technical paradigm shift in how organisations think about data ownership, responsibility, and architecture. Coined by Zhamak Dehghani at ThoughtWorks in 2019, it challenges the centralised …