If your organization has landed on Microsoft Fabric as its data warehouse and dbt as its transformation tool, you’ll eventually hit the same question every dbt-on-Fabric team hits: how do I actually develop this locally, in VS Code, against a real Fabric Warehouse or Lakehouse — without a slow CI round-trip for every SQL change? […]
Category: Uncategorized
Databricks and Power BI integration methods
In most modern data platforms, Databricks serves as the ETL and data engineering powerhouse, transforming and preparing data at scale. Power BI provides the semantic layer, analytics, and visualization experience for business users. Databricks tables or views are typically imported into Power BI via connecting on a SQL warehouse. This is where the integration between […]
Preparing your semantic model for AI
Microsoft Copilot has grown from a demo feature into something people actually use. In Power BI you find it in the Service, in the standalone chat experience, in Teams and in the Desktop application. Business users can now ask questions about your data in plain language, and they expect a proper answer back. To make […]
One User. Two Clicks. 553,000 Compute Units.
How to keep your Microsoft Fabric capacity under control Introduction Microsoft Fabric promises a unified analytics platform, one capacity, one bill, everything in one place. But that simplicity comes with a catch: every workload on your capacity competes for the same pool of compute units (CUs). When those CUs run out Microsoft Fabric first takes […]
Databricks Budgets – Budget First. Prompt Later.
The missing piece to your Databricks AI Governance. As AI workloads grow from small experiments to production-scale applications, keeping cloud costs under control becomes just as important as achieving model accuracy and performance. Databricks Budgets help organisations proactively manage spending by allowing teams to set budget thresholds, monitor consumption, and receive alerts before costs exceed […]
Live Databricks data in Excel: connect existing reports, auto-refresh, and enforce role-based access
Most companies have a data access gap that nobody put on a roadmap. IBM Think (November 2025), citing Gartner data, reports that analytics and business intelligence tools are used by only 29% of employees on average.[1] That means most people in most organisations work without direct access to governed data. Original research by Acuity Training […]
Databricks Apps: Building data apps at the speed of thought
Introduction Have you ever been bothered by how long it can take for your data to deliver value to your business? Thanks to Databricks’ new product: Databricks Apps, you can create working application on top of the data that already exists on your Lakehouse platform. On top of that, no more worrying about setting up […]
Migrating historical transactional data from SAP S/4HANA to SAP Public Cloud: real-world lessons from a complex FI-CO migration
Organizations running mature SAP S/4HANA environments on-premise or in private cloud are increasingly eyeing the move to SAP S/4HANA Public Cloud. The promise of lower TCO, continuous innovation, simplified operations, and embedded AI capabilities makes the Public Cloud highly attractive. However, one of the most technically demanding and business-critical aspects of this journey is the […]
SAP BDC Connect Tutorial: 10 Steps to Connect SAP Business Data Cloud with Databricks
SAP Business Data Cloud (BDC) Connect enables organizations to securely share SAP data with external data platforms such as Databricks, Microsoft Fabric and Snowflake through Delta Sharing technology. In this guide, we walk through the complete setup process, from creating Data Products in SAP Datasphere to consuming and enriching the data in external platforms and […]
Materialized Lake Views in Microsoft Fabric: your medallion pipeline in a few lines of SQL
Data engineering on a lakehouse used to mean a lot of moving parts. A notebook for each transformation layer. A Data Factory pipeline to run them in the right order. Custom validation logic across scripts. Schedules to maintain and a Monitor Hub to watch when things break. Five different surfaces and five different things to […]
