
After this lecture, you will understand the proposal of this product and what the prerequisites are.
Instructions:
Download the file.
Use it as instructed on the video.
In just one day (often a few focused hours)
When I say one day, I am being conservative. If you already have the basic requirements in place, you can realistically build this Azure cost reporting solution in a much shorter time. This course focuses on practical implementation, not lengthy theory.
The real challenge: Azure billing data size
Azure cost and usage data grows extremely fast. One year of raw Azure billing data can easily range between 50GB and 100GB. At this scale, traditional analysis methods break down.
Azure cost and usage data becomes too large to handle manually
Excel-based analysis forces heavy summarization
Critical cost details and usage patterns are lost
Why manual and existing solutions fall short
Manual Excel-based analysis
Not designed for large Azure billing datasets
Leads to loss of visibility and inaccurate cost insights
Third-party cloud cost management tools
Often prohibitively expensive
Require long procurement and onboarding processes
Limited flexibility for tailored FinOps analysis
Open-source alternatives
Large volumes of documentation to understand and maintain
Require technical expertise that many FinOps teams do not have
Significant time spent evaluating and integrating tools
Why this matters for FinOps
As a FinOps practitioner, reliable cost and usage visibility is essential. Without it:
Cloud spending can spiral out of control
Unexpected cost spikes disrupt budgets
Decision-making slows due to lack of clarity
Teams operate in silos, creating inefficiencies
Financial and technical goals drift out of alignment
Why I built this solution
I built this solution to solve a real operational problem I faced myself. Existing options were either too expensive, too complex, or not flexible enough for practical FinOps work. This approach was designed to be simple, scalable, and cost-effective, using Azure services, Databricks, and Power BI to deliver meaningful cost insights without relying on expensive SaaS platforms.
Who this course is for
This course is ideal if you:
Work in FinOps, cloud operations, or cloud architecture
Are not a data scientist or data engineer
Work alone or in a small team (0–2 people)
Do not have a dedicated data engineering team
Cannot justify the cost of third-party cloud cost tools
Need deeper Azure cost management and cloud cost optimization
Find native Azure Cost Management insufficient for your needs
By the end of this course, you will have a practical Azure cost reporting solution aligned with FinOps best practices that can be implemented in one day or less.