Modern data platforms are not built on single scripts or ad‑hoc notebooks. They rely on reusable, well‑designed utility functions that handle extraction, transformation, auditing, and historical tracking in a consistent way. This article walks through a real‑world Python utility module used in Microsoft Fabric, explaining every major function, what problem it solves, and how it … Read more
1. Purpose This guide shows how to build a Power BI report using the standard DataMart wireframe. It demonstrates how: The wireframe is not just a template — it is a working example of how reporting should be built. Please download your own version from here… https://app.powerbi.com/groups/3974c1cc-9a5c-4af9-b717-379013d17d53/reports/08af53f0-f4c9-41d8-b85e-c0f597947bf7/ReportSection?ctid=b52d5b10-ca0e-48a0-86ab-0a34fd628e8b&experience=power-bi 2. The Principle Engineering defines the data.Analysts define … Read more
1. Identity Core identifiers and object naming. PurposeObject identifiers. 2. Structural Keys Structural identifiers used to link datasets. PurposeIdentify or reference core business entities. 3. Commercial Context Customer and contractual relationships. PurposeDescribe commercial relationships and contracts. 4. Sales & Pipeline Sales organisation and opportunity tracking. PurposeAnalyse pipeline, opportunity probability, and sales ownership. 5. Financial Values … Read more
Purpose META_TYPE is used within CDM metadata views (such as meta_codes, meta_dates, and meta_values) to group related attributes into meaningful analytical categories. Rather than storing hundreds of unrelated attributes, META_TYPE provides a semantic grouping layer that helps analysts understand the nature of the data. Each row therefore follows a pattern similar to: OBJECT → META_TYPE … Read more
Purpose The Data Dictionary is the overarching governance process used to maintain the meaning, structure, lineage, quality rules, and operational control of data assets across the Data Platform. Rather than existing as a single document or table, the Data Dictionary is delivered through a set of linked artefacts, each addressing a distinct aspect of data … Read more
Provides project role assignment metadata in the standard CDM meta_codes structure, with regional view variants for APC, CAD, USD, UKS, and future IFS-aligned sourcing. Purpose The project.meta_codes_roles family provides a standardised project-role metadata pattern for identifying named project responsibilities against a project object. This allows project role assignments to be consumed consistently across regions even … Read more
Managing Dataflow Gen2 across multiple environments (Development and Production) can be a headache. By default, the destination Lakehouse or Warehouse IDs are hardcoded. This means when you deploy to a Production workspace, your dataflow might still try to write back to your Development environment. In this guide, I’ll show you a workaround to parameterize your … Read more
Release 92 absorbed in DEV Pipeline Release validation 1. BusOpp (EUR & NA) – Structural Refactor Views affected What has changed We have refactored the MP8 / MP9 source logic to remove duplicated transformation code and consolidate the sources via an early UNION pattern. The primary driver was identification of multiple editions of the same … Read more
Structural Consolidation, Export Alignment & ReportingUnit Introduction Overview Release 91 focuses on structural consistency across domains, export pattern alignment, identifier correction, and preparation for enhanced historical interrogation using get.myview. This is a maturity release.It strengthens foundations rather than introducing visible UI features. 1. Removal of Hard-Coded ACTIVE_FLAG Filtering Affected Domains Affected Views (cvw) Change Removed: … Read more