Hello!
This is a call for speakers for the inaugural Atlanta Azure DataFest: Microsoft Azure Advance Analytics and Big Data Conference, a 2-day event to be held on August 16-17, 2018, 9:00AM to 5:00PM at the Microsoft Technology Center, 8000 Avalon Boulevard Suite 900, Alpharetta, GA 30009.
We are looking for to 10-12 speakers to present on the following Azure Advanced Analytics and Big Data topics:
Planned Schedule (Thursday, August 16)
We plan on delivering a keynote, and three sessions to the at-large audience, then breaking into tracks after lunch.
8:00AM - 9:00AM - check-in/breakfast/networking
9:00AM - 9:50AM - Key Note, Room # All/Combined
10:00AM -10:50AM - Session 1 Room # All/Combined
11:00AM -11:50AM - Session 2 Room # All/Combined
12:00PM - 12:50PM - Partner/Sponsor Lunch and Learn - Room # All/Combined
1:15PM - 2:15PM Breakout sessions
2:30PM - 3:30PM Breakout sessions
3:45PM - 4:45PM Breakout sessions
Sessions should be 1 hour in duration, level 300 or higher. You can use best practices, case studies, demos, chalk talks, etc.
Planned Schedule (Friday, August 17)
The second day is intended to build on the first day with workshops, allowing attendees to have hands-on experiences with the applications.
8:00AM - 9:00AM - check-in/breakfast/networking
9:00AM - 11:50AM Workshops
12:00PM - 12:50PM - Lunch - Networking
1:00PM - 3:50PM Workshops
Workshop sessions should be 3 hours in length, and relate to material covered in the sessions on day one. If you would like to submit a workshop session, please ALSO submit a single-hour session for the first day.
The session submission deadline is Friday, July 13, 2018. We will announce the speaker list and alternates on Monday, July 16, 2018.
If you have questions, please contact stuart.ainsworth@azuredatafest.com
Sessions should be progressive and forward-thinking in nature. One of the goals of Azure DataFest is to encourage the growth of big ideas in data management. Preference will be given to presentations that describe and demonstrate the potential of the technology to push boundaries, rather than deep dive or foundational materials.
Workshops are intended to be hands-on and demonstration oriented. Presenters are encouraged to provide details on demos they'd like to show, especially if they can make those demos work with actual attendee data sets.