Data Engineering

# AWS Student Builders Group – Inauguration Event Join us for the official inauguration of the AWS Student Builders Group at our campus! This event marks the beginning of a new tech community focused on cloud computing, AWS technologies, innovation, and student collaboration. During the session, we will introduce the club, our core team members, and our vision for upcoming workshops, events, and opportunities. Our Faculty Advisor will also address the students and share insights about the importance of cloud technologies in today’s industry. ## What You’ll Learn * Introduction to AWS Student Builders Group * Basics of Cloud Computing & AWS * Upcoming plans, workshops, and community activities * Opportunities for students in cloud and tech domains ## Special Interaction We will also connect with student leaders and community members from different states through an online meet session, where they will share their experiences and insights with attendees. ## Event Format Hybrid Event * Offline: College Campus * Online: Guest interaction through virtual meeting Whether you are a beginner or already interested in cloud technologies, this event is a great opportunity to connect, learn, and grow with the community. 📅 Date: 2nd July ⏰ Time: 11:00 AM 📍 Venue: Oriental College of Technology We look forward to welcoming you to the community!

**Practical Curiosity: Learning from Everyday Data** How do we actually get better at utilizing our day-to-day data? Fancy dashboards and complex models might look nice and draw attention, but that’s not where most of us spend our time. In fact those shiny outputs frequently sit unused, while the real insights are drawn from the analyst’s daily practice. Sometimes it’s as simple and as powerful as noticing that a segment is shrinking, a channel is underused, or certain links keep getting all the clicks. There’s many different places that the spark of insight can come from, but you have to keep your head in the data and know where to look. In this session, we’ll explore real-world examples of how segmentation, testing, and click behavior can uncover practical digital marketing opportunities. You’ll leave with inspiration for your own use cases, along with a few simple ways to ask better questions, spot meaningful patterns, and make smarter decisions without overcomplicating it. **About Our Speaker:** [Elaine Armbruster](https://www.linkedin.com/in/elainearmbruster/) is a Director of Digital Experience at the [American Diabetes Association](https://diabetes.org/), where she focuses on using data and insights to create smarter, more effective digital experiences. A lifelong Columbus resident, she has built her career in email marketing and the broader digital user journey, and is finding she most enjoys working in the messy middle where systems, data, and big ideas don’t quite line up yet. 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)

Most people use LLMs by feel: ask a question, read the answer, decide whether it “seems good,” and move on. That works for casual use. It does not work when you are building software, automating workflows, writing important documents, or relying on AI for anything that needs to be repeatable. In this talk, we’ll look at how to improve and evaluate the inputs and outputs of LLMs using practical measurement techniques. We’ll cover how prompt changes affect results, how to compare outputs, how to build simple evaluation sets, and how math-based methods like similarity scoring can help you move beyond guesswork. This will be beginner-friendly, so even if you don't know anything about AI, you should get something out of it. However, this will be a little more technical than our intro talks. You do not need to be an AI researcher, but programmers and technically curious attendees will get a lot out of it. We’ll cover: * Why “it looks good” is not enough * How to improve prompts by changing the input, context, and constraints * How to compare LLM outputs more systematically * Basic evaluation techniques for accuracy, consistency, and usefulness * How embeddings, cosine similarity, and scoring can help evaluate results * Where automated evaluation works — and where humans still need to stay in the loop By the end, you’ll have a practical mental model for treating LLMs less like magic and more like systems you can test, measure, and improve. LOGISTICS AND PARKING: The talk starts at 7:00 PM. The first half hour is reserved for everyone to get set up and mingle. Free pizza and drinks! The cheapest parking option is to find street parking, which will only cost you a few bucks. Otherwise, park in the nearby veteran's museum lot for $8. It's highly recommended you avoid the nearby $15 garage parking.

Highlights and Hidden Gems in SQL Server 2025 With so much emphasis on cloud data platforms and AI these days, SQL people can feel left behind by all the marketing hype. SQL Server 2025 was officially released in November of 2025, though, and contains a ton of improvements that will make our SQL Server deployments a bit faster, better, and more secure. There are even more improvements tucked into the release that never made a marketing blog or press release that you'll likely be learning about for the first time in this session! Join this session to learn about what makes your high availability a little more available, your performance a bit more performant, and your database more developer and app-friendly. Come spend an hour with SQL people talking SQL Server 2025 – the good, the "not quite ready for prime time", and the hidden awesomeness.

You can sleep in on the Sesquicentennial (observed), we’re shifting to the following Friday. But join the local UX community for a chat and some biscuits to catch up. If you were in CA for Figma Config, tell us all the lines and you can tell me how I can animate an SVG without coding it by hand, and why I’d even want to. Thanks to the team at Nationwide of supporting the group.

**Talk Description** How do you build a card game in Python without the logic turning into spaghetti? We'll use a working Euchre app to walk through a practical pattern: creating card and game state data structures, using a pure Python rules engine, and finally creating a pygame UI. Includes a live demo. Come learn a little about Euchre and pick up some skills and tricks to build your next game or app. No Euchre or pygame experience needed. All skill levels welcome. Laptops optional. **Agenda:** 7:00pm - Opening announcements 7:10pm - Main Topic - Building a Card Game with pygame 7:50pm - Q&A

We're planning a hands-on technical session focused on building AI solutions in ServiceNow - think skills, agents, and real-world use cases. If you’re curious about AI on the platform, RSVP now and stay tuned for more details. Let's build together!

Want to be a speaker? submit your talk to our Call for Presenters!!! https://sessionize.com/azure-cbus-2026/