Machine Embroidery

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!

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)

http://photos2.meetupstatic.com/photos/event/2/a/9/6/600_348310902.jpeg Instructor - Crow, HPS Class fee is $30 at the door or approved exchange RSVP with Advance pay of $25 (discounted) by PayPal on the web or by contacting Enchanted Elements (614) 437-2642. Reservations made directly to Enchanted Elements will be added to the class list manually not online. Private Instruction ~ Closed to the Public ~ Initiated Members Only Please come prepared for ritual. Blessings ~ Crow

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.