How Does ETL Work in a Data Warehouse?
ETL (Extract, Transform, Load) is like unpacking your data; it pulls your data out of ‘boxes’ and cleans and organizes it, getting your data ready for analysis.
ETL (Extract, Transform, Load) is like unpacking your data; it pulls your data out of ‘boxes’ and cleans and organizes it, getting your data ready for analysis.
What We Learned Building Before Buying On the surface, it sounds a little reckless: why build your own AI data preview when Microsoft and others are already weaving Copilot into […]
In Microsoft Fabric, mirroring centralizes data from multiple sources into OneLake, replicating in near real time for fast, query-ready analytics.
Power BI is not a traditional ETL tool like SSIS or Hadoop, but it offers ETL via Power Query and Dataflows for efficient data transformation and integration.
Artificial Intelligence (AI) is transforming inventory management from a traditional, reactive function into a dynamic, predictive discipline.
Azure Synapse Analytics is not simply another data platform, it’s the high-octane engine behind business transformation
The Medallion Lakehouse in Microsoft Fabric offers a modern, scalable framework for managing analytical data in today’s cloud-first businesses.
Role-level security in Power BI lets you control who sees what based on the roles you assign
In data strategy, a matrix approach treats data as an integrated asset that connects across all business functions, goals, and initiatives—not in silos.
Successful Microsoft Fabric deployments typically use a layered approach (ingestion, processing, consumption, visualization) or a modular, business-aligned model.
The most important skill for a consultant is exceptional communication, specifically, the ability to translate complex data and analytics into clear priorities.
To deploy a Power BI gateway that operates smoothly, every organization should understand and meet the minimum requirements.