Notes
Writing on Power BI, data engineering and AI
Practical write-ups from real project work: semantic modeling, warehouse design on Microsoft Fabric, and production AI systems.
Career & Hiring
Data Analytics Consultant: When Do You Need One?
What a data analytics consultant does, seven signs you need one, how they differ from a full-time hire or an agency, what to look for, and what it costs.
Data Engineering
Change Data Capture: Keeping Your Warehouse in Sync
Change data capture explained clearly: how it moves only changed rows to keep a warehouse in sync, the main methods, the trade-offs, and when you need it.
Data Engineering
Azure Data Factory: What It Does and When to Use It
Azure Data Factory explained clearly: what it does, pipelines and integration runtimes, data flows, how it compares to Fabric and SSIS, and when to use it.
Career & Hiring
What an AI Automation Consultant Actually Does
What an AI automation consultant really does, beyond the hype: where automation pays off, signs you need one, what to look for, and the honest limits.
Career & Hiring
Business Intelligence Developer: Role, Skills, and When You Need One
What a business intelligence developer does, how the role differs from a data analyst and data engineer, the skills to look for, and when you actually need one.
Data Engineering
Microsoft Fabric vs Power BI: What Is the Difference?
Microsoft Fabric vs Power BI explained simply: what each one does, where they overlap, and how to decide which you actually need for your reporting.