Power BI guide: managing the current views & a simple pivot pattern

This note explains how to turn the current views (wide–from–tall) into a report‑friendly table using Power Query (recommended) or DAX. It covers two common layouts: It also shows how to extract a human‑readable Description from the JSON in VALUE_METADATA. Source schema (tall, meta-driven) Expected columns: Assumption: Each (OBJECT_SEQ, [META_TYPE], ATTRIBUTE) appears at most once for … Read more

Look in the box first

Should We Reuse Standard Dynamics 365 / Dataverse Tables for Our In‑House Apps? 1) Why We’re Talking About This We’re starting an important conversation: when we build apps internally, should we lean on the standard tables already in Dynamics 365 / Dataverse (like Account, Contact, Opportunity, Project), or should we keep spinning up new SharePoint … Read more

Common Data Model (CDM): Structure & Query Guide

How to query a CDM view (Power Query / M) Use the datamart domain value as @dataMart and the view name as @viewName. Naming conventions Sales Pipeline Covers all stages of customer acquisition and order-to-cash pipeline. Marketing (marketing) Activities and campaigns to generate awareness and leads. Collection Definition Views Base views Campaigns, channels, lead gen … Read more

🌟 Transparency Meets Simplicity – Updates to the Data Dictionary in myBMT

Hey everyone 👋 We’ve been working hard behind the scenes on something that we think will really help you. 🔍 What’s New? We’ve significantly expanded the Attribute Lineage and Data Dictionary tooling in myBMT. This means: It’s a fully transparent journey from requirement ➡ mapping ➡ code — all in one place. 😅 One Small … Read more

Release 72

This release documents updates to the Data Warehouse covering changes made since 30 June. It focuses on the continued rollout of CDM-aligned views and early implementation of Resource views. 🔁 Customer & Supplier Domains customer_core_details supplier_core_details 👥 Employee Domain employee_hours Absence-Related Views employee_item_codes_absenceemployee_item_dates_absenceemployee_item_values_absence employee_meta_codes 📁 Project Domain project_item_codes_forecastproject_item_values_forecast 🔧 Resource Domain (Initial Release) resource_item_codes_activityresource_item_values_activity

Release 71

Changes busopp_dates_202409 Updated to source Wanted Delivery Date from the refactored QFACT_BUSINESS_OPP_OL (formerly FACT_BUSINESS_OPP_OL$). project_value_202410 Now filtered to exclude rows where CONTROL_CATEGORY is NULL. OCNS / CEFAS DataViews These views provide an overview of the product-related DataViews derived from OCNS (Offshore Chemical Notification Scheme) and CEFAS (Centre for Environment, Fisheries and Aquaculture Science) regulatory sources. … Read more

OCNS/CEFAS DataViews

📘 Purpose This page provides an overview of the product-related data views based on OCNS and CEFAS environmental regulatory sources. These views support reporting, environmental compliance, and substitution warning analysis across various product categories. 🔍 Use Cases 🗂️ DataViews Summary The following views are published within the cefas schema: DataView Name Category Description Notes / … Read more

Release 70

View: project_forecast_202409 Enhancements: Spark-SQL Compatibility and Safe-Code Updates Changes Implemented To improve compatibility with Spark SQL and prepare views for future transition into Fabric or Lakehouse environments, the following adjustments have been made: Outstanding Compatibility Issues 1. IIF() in object CODE should be CASE 2. Square brackets on reserved words (e.g. [identifier]) 3. CF$ field … Read more

Proposal: Expanding Data Engineering to Embrace Fabric and AI Engineering Executive Summary

This proposal outlines a phased approach to broaden the scope of our Data Engineering capability, incorporating Microsoft Fabric as a unified analytics platform and evolving our approach to include foundational elements of AI Engineering. The goal is to create an agile, scalable, and intelligent data platform that supports operational analytics, predictive insights, and innovation. 1. … Read more