video1.0<iframe src="https://www.loom.com/embed/62798eb3f76140d6bd04f432977f9085" frameborder="0" width="1920" height="1440" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>14401920Loomhttps://www.loom.com14401920https://cdn.loom.com/sessions/thumbnails/62798eb3f76140d6bd04f432977f9085-81342410655150a3.gif701.891In this video, I walk you through the process of building our events dataset in NetSpring, focusing on both single table and multiple table models. I emphasize that NetSpring is flexible with data models, so if your setup doesn't fit the common cases I discuss, please reach out for assistance. We start by creating a source dataset from a single table and then move on to a union dataset that combines multiple tables into a unified event stream. I also highlight the importance of configuring the dataset as an events dataset by specifying the event time and event type columns. If you have any questions or need help, don't hesitate to get in touch!