Raleigh Day of Data 2026 (#1143)

Overview

Raleigh Day of Data 2026 is a no cost, one day training event designed for IT professionals, data specialists, and students who are interested in the Microsoft data platform space. The event focuses on topics such as SQL Server, Azure data services, data science, data engineering, AI, and related data technologies. The page notes that the event is in person and provides a venue in Durham, North Carolina, with a registration link to Eventbrite. It positions the gathering as a hands-on opportunity to learn, network, and engage with peers in the data community.

Agenda

The schedule is hosted externally and embedded on the page via a sessionize grid. Attendees are reminded that the event time is in Eastern Daylight Time (UTC -4), and the schedule is updated to match the viewer's time zone. The embedded grid is referenced as the source for the full timetable, including sessions, tracks, and potential workshops. The page also indicates the call for speakers closed earlier in 2026 and that speaker details are accessible via the Sessionize feed. This description reflects the intent to provide a structured day of talks, hands-on sessions, and potentially breakout tracks.

Location

The event takes place at Duke Health, 14 Moore Dr., Durham, NC 27703, United States. An embedded Google Maps frame is included to help attendees locate the venue. The page also mentions that the event is part of a broader Day of Data series and provides a link to the Meetup site for further context and community connections.

Who should attend

Raleigh Day of Data 2026 is described as a free, one-day training event for IT professionals, data professionals, and students who are interested in Microsoft data technologies. It is positioned as suitable for individuals seeking to deepen their knowledge of SQL Server, Azure data services, data engineering, AI, and related areas. The event promotes participation from a diverse audience within the data community, including people who may be exploring these technologies in a professional or academic context.

Registration

Registration is encouraged via a prominent link to Eventbrite, where attendees can secure a ticket for the day. A capacity note on the page states a limit of 275 attendees, signaling that space is finite and registration may fill up. The Meetup site is also listed as an official touchpoint for the event, offering additional context and community resources.

Code of Conduct and Data Privacy

The page notes that there is a Code of Conduct for the event and directs attendees to report violations to the organizers. It also references a generic data privacy policy, with a reminder that registration data may be shared with sponsors. Sponsors are expected to adhere to their own privacy policies. This information helps attendees understand expectations for behavior and data handling at the event.

Sponsors

The event page includes sponsorship details and mentions a sponsorship plan. It describes the sponsorship tiers and some benefits, such as logo placement and attendee exposure, while also noting that a formal sponsorship table is provided on the page for interested organizations. This section underscores the event’s community and industry engagement.

FAQ

The page provides a few clarifications, such as time zone considerations for the schedule and the fact that the speaker call has closed. It also points attendees to the official registration and community channels for further questions. Overall, the event appears to be a well-organized, community-focused data tech gathering with a clear emphasis on learning and networking.