Multiracial

. 🎬 Movie Night You, Me & Tuscany Join us for a cinematic escape to the sun-drenched vineyards and romantic landscapes of Italy as we gather to watch You, Me & Tuscany, the new feel-good romantic comedy starring Halle Bailey and Regé‑Jean Page. Set against the breathtaking beauty of Tuscany, the film follows a spirited young woman whose impulsive decision to stay in a Tuscan villa leads to unexpected adventure, heartfelt moments, and a romance she never saw coming. Expect an evening filled with: 🍿 A beautiful cinematic escape to Italy 🍷 Relaxed social vibes and great conversation ✨ A feel-good romantic story perfect for movie lovers Whether you’re a fan of romantic comedies, stunning travel settings, or simply enjoy experiencing great films with great people, this will be a perfect night to unwind and connect. Come ready to relax, laugh, and be transported to Tuscany for the evening. Follow Black Love & Friends on [Facebook](https://www.facebook.com/share/17oXQtZz36/) and [Instagram](https://www.instagram.com/blackloveandfriends?igsh=djVrYnhqeG5nMjBx) to stay connected and be the first to hear about upcoming dimnets, social gatherings, and other exciting member-only events.

Sleep in on Sundays. When you've had your fill of pajama-time, roll out and have some tasty brunch with your fellow Humanists!

Dinner and dancing

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.