Bodas

Нова разходка. Вижте [нашата страница](https://peshachko.bg/events/events/) за повече информация. Елате на неангажираща групова разходка, където просто се събираме и се разхождаме заедно в приятна компания. Няма програма или изисквания – само движение, разговори и добро настроение.

**Founders Running Club** (FRC) brings founders, investors, tech, creative people and startup enthusiasts together for weekly easy runs and networking. We like to be comfortable when we run and finish with coffee and conversations. Choose your pace or follow a pacer—pets, friends, family, are welcome. 🗓️ Launched in San Francisco, July 16, 2022 🌍 Now in 35+ cities 📅 Running + Networking events + Community **Join the community** [http://foundersrc.com/chats](http://foundersrc.com/chats) **Stay updated**: Instagram [http://instagram.com/foundersrc/](http://instagram.com/foundersrc/) Podcast [http://podcast.foundersrc.com/](http://podcast.foundersrc.com/) LinkedIn [http://linkedin.com/company/foundersrc/](http://linkedin.com/company/foundersrc/) Strava [http://strava.com/clubs/foundersRC](http://strava.com/clubs/foundersRC) Website [http://foundersrc.com/](http://foundersrc.com/)

Can data lead to discrimination? How long should a person live? What is humanity’s role in deciding which species continue? How can we honour history in the present day? At this event, we'll explore these questions and more by discussing detailed scenarios where these ethical dilemmas play out. We’ll rotate in small groups between four different scenarios. Debate, share, and hear how others think. This is for anyone who enjoys: * Thought-provoking discussions * Meeting new people in small groups * Practical philosophy 📅 Date: Wednesday, 8 April 🕖 Time: Event begins at 19:15 📍 Location: The Steps (upstairs) 🎟️ Price: Free NOTE: There is NO LIMIT on the number of participants, Meetup sets a restriction automatically. Even if you don't reserve a spot, you can still come along.

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!

Pickleball is BACK!! Bring yourself, bring a racket, bring a ball if you have one. I will have some extra rackets for beginners.

**The Data-Driven Brand: Using Analytics to Shape Perception** Can you use analytics to improve tacos? This being CBUSDAW, we think the answer is probably “yes”, but we’re not sure how to implement or test this theory. For our April meetup we’ve got Sara Kear, CMO of Condado Tacos, to investigate this delicious question. Sara will explore how she blends quantitative data and qualitative customer feedback to shape brand positioning and drive business decisions. We all know that marketing and analytics go way beyond attribution. Sara will show how Condado uses customer insights to inform product and pricing strategy. She’ll also highlight how Condado leverages customer feedback at scale to influence operational priorities, positioning marketing as the voice of the customer across the organization. In the last 12 years Condado has gone from one location in Columbus to 52 locations across 10 states, so we’re guessing there’s more to that growth than really good guac (though the guac probably helps). Ultimately, this talk focuses on the intersection of art and science—using data to inform creativity and build a brand that resonates with customers in a measurable way. **About Our Speaker** Sara Kear is Chief Marketing Officer at Condado Tacos, where she oversees brand, restaurant design, menu and pricing strategy, off-premise including catering, and customer data strategy. Since joining in 2021, she has helped grow the brand from 19 to 52 locations while building a data-driven marketing organization focused on loyalty and customer insights. Condado has since been named to the Inc. 5000, recognized as Breakout Retailer by Chain Store Age, and consistently ranked among FastCasual’s Top 100 Movers & Shakers. Thanks to our 2026 sponsors: [Clarivoy](https://www.clarivoy.com), [What Box Consulting Group](https://www.whatboxconsultinggroup.com), [Conductrics](https://www.conductrics.com), and [Piwik PRO](https://piwik.pro) More info at [cbusdaw.com](https://cbusdaw.com)

Let's talk about relationships in such a way that you can really benefit from the knowledge. We can talk about * Soulmates * How to start a relationship * How to maintain a relationship * How to pick the right partner * How to recognize the red flags * How to improve communication * How to avoid argument and fights * How to increase trust You ask the questions, we'll talk about them. Be sure to click on the red "Attend" button below to come to this local event. We look forward to seeing you there. This group is sponsored the Dianetics & Scientology Self-Improvement Center.

This is a free in-person meeting. Let's talk about relationships in such a way that you can really benefit from the knowledge. We can talk about * Soulmates * How to start a relationship * How to maintain a relationship * How to pick the right partner * How to recognize the red flags * How to improve communication * How to avoid argument and fights * How to increase trust You ask the questions, we'll talk about them. Be sure to click on the red "Attend" button below to come to this local event. We look forward to seeing you there. This group is sponsored the Dianetics & Scientology Self-Improvement Center.

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.