The Civil Possessions project, part of the HDPIP, modernises HMCTS services through a business-first data architecture. By treating data models as living artefacts that evolve with service requirements, the team builds a scalable foundation that adapts to changing policies. This collaborative, iterative approach ensures data remains structured, consistent, and resilient, allowing the digital platform to effectively support evolving public services.

This article explores the evolution of data storage - from the early days of punch cards to the rise of data warehouses, lakes, and the modern lakehouse. Ara traces how each stage shaped today’s data landscape and explains how the lakehouse unites flexibility, governance, and trust in a single architecture.

Prompt engineering has undergone a significant transformation in the rapidly evolving landscape of artificial intelligence. What began as simple text inputs to generate specific outputs has evolved into sophisticated instruction sets that guide autonomous AI agents through complex, multi-step processes with minimal human intervention.

In today's digital landscape, where security breaches can cost organisations millions and erode customer trust, building high-performing DevSecOps teams isn't just an operational choice - it's a strategic imperative.

This article explains the role of a data engineer as a specialist software engineer who builds and maintains the systems that manage and prepare data.

This series is aimed to help you take a step back and ground yourself on the core principles that every data team must understand. We will focus on the data engineering process, which is the art of preparing the most valuable ingredient your company has at its disposal: your data.