Welcome to my Site

March 26, 2016 By Mike Carlo

Welcome to PowerBI.tips, this blog is dedicated to learning and developing visualizations for PowerBI desktop, PowerBI.com and for data modeling in excel.

I’ve been a PowerBI user for almost two years. My background is in mechanical engineering, and I’ve been migrating into a data analytics and data scientist role. As a mechanical engineer part of your job is to develop a test, collect data, and summarize the results. In the collecting data phase engineers can collect gigs of data from sensors. Thus, there is a need to digest that data into what I would call an executive summary. I need to convey what I tested and did my device or product pass the tests.

My Journey to Power BI

In the past I’ve used access to collect data and summarize. Then using connections or data extracts to excel to produce charts or summary visualizations.

All of which brought me to where I am today. I’ve had the technical know how of databases and excel but I lacked the complete tool to build repeatable data to visualization products. This is the perfect fit for PowerBI.

Why This Blog?

This is why I’ve decided to share what I’ve learned about data and data visualization to help you get up to speed with the amazing PowerBI tools.

Hope you enjoy my blog, Mike

Oct 24, 2026

How Deplavity Was Born (and Everything We Made Because of It)

On Explicit Measures episode 573, Mike Carlo tried to say "deployment savvy" and invented Deplavity instead. Here is where the slip happened, how it turned into a fake prescription drug, and every video, ad, and jingle made because of it.

Oct 20, 2026

Fabric Deployment Plan - Ep.573

Fabric deployment plans let you order deployments and run notebooks or pipelines before and after each item lands, which finally gives data a place in the release. Mike Carlo and Tommy Puglia work out which teams should reach for a plan, which should stay in Git and GitHub Actions, and why both would wait for GA.

Oct 15, 2026

Ontology Agent - Ep.572

The Fabric IQ ontology agent can draft an ontology from a lakehouse, and it still cannot finish the job it just offered to do. Tommy Puglia and Mike Carlo hold the preview out of any workspace a client depends on.