Moradia

Pay attention! We’re delaying a week for those of you who may be on Spring break and/or celebrating the holiday. Ok, no pancakes, but waffles-a-plenty. Join the local UX and Digital Design community for a casual monthly breakfast. Look for us upstairs!

We're working on some great speakers for the April meeting. Agenda TBA: 11 Welcome 11:15 Michael Franchino - Using MCP in BC: Turning AI from Novelty into Tooling Noon - Networking Lunch 12:30 Dan Gianguilio - D355 WMS Session 1:25 Third Session 2:00 Closing Remarks You're invited to Indiana D365 April User Group Meeting Wed Apr 22, 2026 11:00 AM—1:30 PM (EST) https://teams.microsoft.com/l/meetup-join/19%3ameeting_NDQ3M2ExZWMtNzg5YS00N2M3LTkyNTItZmY0M2Q2NWFmYzBl%40thread.v2/0?context=%7b%22Tid%22%3a%22b4c9f32e-da17-4ded-9c95-ce9da38f25d9%22%2c%22Oid%22%3a%2267db4a27-1865-4ea7-bb20-a28137a8aa56%22%7d Tap on the link or paste it in a browser to join.

Let’s try this popular Italian restaurant in Reynoldsburg. This is the menu: https://scaliristorante.com/#4e468054-0235-43e2-81c2-44e061341e9e

Join us for lunch at Cooper’s Hawk in Easton. If the weather is nice, we’ll enjoy lunch on their gorgeous patio!

Join us for a two mile trail hike alongside the Brookside Trail at Blendon Woods Metro Park. This trail is largely gravel and does include some hills and stairs. Hopefully we will see some wildlife while hike this scenic trail! Join us!

**Let’s have lunch and have some extra fun! Bring your favorite game! 🥳**

The Fellowship of the Star Schema: Transforming OLTP Data for Power BI One does not simply build reports on OLTP data. Join us on an epic journey from the depths of raw, normalized tables to the shining halls of a well-modeled star schema fit for Power BI greatness. We will demystify the differences between OLTP and OLAP, walk through star schema vs snowflake (and why Power BI has a clear favorite), and show you the compression differences between normalized and columnar storage that will make you never look at an OLTP model the same way again. We will cover the different types of dimensions, when to use them, and how to handle Slowly Changing Dimensions without losing your mind. You will leave knowing exactly how to identify a bad model, how to convert OLTP data into a clean star schema, and how to forge relationships that rule them all. Whether you are a data wizard, a curious hobbit, or somewhere in between, your models will never be the same.