Schreiben

The aim of this group is to get together and practice our German. Doesn’t matter if are a beginner or a native speaker. The goal is to speak and improve our German. Everyone is welcome! If the weather is good, look for us in the Biergarten. Pro Tip: Get there before 6:00 for happy hour pricing.

Christians in Tech is a community at the intersection of faith and technology. Our meetups are designed to spark meaningful conversations, promote knowledge sharing, and encourage growth—both in your career and your spiritual walk with God. Whether you're an experienced professional or just starting your tech journey, CIT welcomes you. Our Website [https://linktr.ee/citcbus](https://linktr.ee/citcbus) Sponsors and Partners * Improving (Venue Sponsor) * Bethel World Prayer Center (Fiscal Sponsor) * Fruits & Roots (Coffee Partner)

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

Main Library, Meeting Room 2B Join us for a welcoming evening of reflection, gentle music, and meaningful conversation. We’ll begin with a short grounding moment, followed by a brief reading from spiritual or philosophical traditions, and an open reflection circle where participants can share (or simply listen). Libera Animae is an interfaith community focused on inner growth, creativity, and authentic connection. All backgrounds are welcome.

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!

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.