Cybersecurity

If you are interested in selecting investment choices for your 401(k) or other workplace savings plan, minimizing your income tax liability, or identifying the most effective investments for your brokerage account, we are the group for you. We are a local chapter of Bogleheads**®**, whose investment strategy can be found here: https://www.bogleheads.org/wiki/Bogleheads%C2%AE_investment_philosophy Or you can peruse the Boglehead forum here: https://www.bogleheads.org/index.php I look forward to seeing you there. Mark Vonder Haar

Central Ohio Radio Enthusiasts—CORE—is an informal community for anyone enthusiastic or curious about radio—whether you're new to radio and want to learn or you've been tinkering for years and want to share. Ham radio operators, GMRS users, Meshtastic fans, software-defined radio nerds, makers, and technical and non-technical folks are all welcome. No experience required or expected. This month we have **WiFi HaLow: Introduction and Practical Use** with **Alex Barbur**. Details are are [core.radio](https://core.radio).

Bienvenue! Columbus French Conversation group invites you to our Saturday morning French conversation club. Expect a casual and welcoming atmosphere in which to learn french! I will bring my laptop so we can look up new vocabulary as needed! The venue is a beautiful French restaurant so you can really get into the zone :)

AI is changing how art is made. But when does it stop being your work and start being the machine’s? This month we're going to be doing a panel with with digital image, music, and written word artists, talking about at what point, while using AI in the creation process, does the work become not the artist creation? We encourage audience participation during this event that will be moderated by Chris Slee. Whether you’re deep in the field or just getting curious, come connect with others building and exploring AI in Columbus. Sponsored by [Transform Labs](https://www.transformlabs.com/services)

NFT's are here to stay folks! This is a group for like minded people interested in understanding, leveraging, using, creating for, profiting from, trading too i suppose, NFT's.. everything around them, complexity, fear and exploits, best practices and more. **PLUS** This group will talk AI ART tools, techniques, artists, video, audio, prototypes and more in the AI assisted production space- ART specifically, but we can get into any aspect of some of the cooler things happening in AI in general.

**Welcome to the Women’s Columbus Bogleheads® Sub-Group** This sub-group is for **women who want to learn and discuss finances in a safe, supportive space**. For those interested in moving towards financial independence and retirement by learning investment basics, choosing your 401(k) investments, minimizing taxes, and more. We’re a local chapter of **Bogleheads®**, following a long-term, practical investment philosophy: [Investment Philosophy](https://www.bogleheads.org/wiki/Bogleheads%C2%AE_investment_philosophy): https://www.bogleheads.org/wiki/Bogleheads%C2%AE_investment_philosophy [Bogleheads Forum](https://www.bogleheads.org/index.php): https://www.bogleheads.org/index.php No question is too small, and no experience is too simple. Share, ask, and learn — at your own pace, without judgment, in a group of like-minded women. Let’s build confidence and knowledge **together**!

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.