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Schedule for Data Community Weekender Europe now live

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Our schedule for Data Community Weekender Europe is now live. You can view the schedule in detail on the official website here.

When you view the schedule it should show the times for the sessions in your local time zone. However, just to confirm the first speaker sessions start at 9am Central European Summer Time (CEST) after a short introduction by the organizers at 8:45am CEST.

In addition, you can signup to attend the event on our meetup page here.

Before I say anything else the team would like to say a big thanks to everybody who submitted. I can assure you session selection was not easy considering the high quality of all your sessions.

As you can probably understand, we wanted to notify the speakers who were not selected before the schedule went live. Due to the fact that we believe it’s good manners.

Schedule

As you might be able to see there is a natural flow between some of our sessions. Because after we had done session selections I noticed that some of the sessions appeared to follow each other as part of a story.

For example, Eitan Blumin’s session serves as an introduction to the modern terms and methodologies relating to software lifecycle development. Afterwards, Sander Stad discusses how you can use Azure DevOps to deploy a database in 15 minutes.

Another good example is some of the Power BI sessions you see in the schedule.

Because I pointed this out of this somebody suggested I drew up the initial schedule. Which I enjoyed because it gave me a chance to use my creative side.

After some minor tweaking it’s now the live schedule you see before you.

Time zones

We also wanted to make sure speakers spoke at a sensible time for their time zone. For example, we have New Zealand speakers in the morning and American speakers later in the day.

In addition, we decided that even though some sessions were shorter we would give each speaker a full 60-minute slot. So, they have the freedom to do whatever they want once their session has finished if they have time left.

Another thing I want to point out here is that the sessions during the day will only be shown live. Which means none of them will be recorded for later viewing.

Speaker stats

Because it’s a Microsoft Data Platform event I thought some of you would be interested in some of the speaker statistics for the event. Especially since it shows the variety that we have on the day.

With this in mind, here are some speaker statistics below.

  • 43 speakers
  • 28 Microsoft MVP’s
  • 18 different countries
  • 7 dbatools contributors
  • 6 Microsoft Certified Trainers
  • 4 Microsoft Certified Masters
  • 3 Microsoft Regional Directors
  • 3 Microsoft employees
  • 1 married couple co-presenting
  • 1 official Power BI Super User
  • And a Lord…

Of course, it goes without saying that another vital statistic is the 42 impressive sessions we have scheduled. In fact, it’s safe to say that the number of sessions was discussed a lot before we decided on the schedule.

Equipment

In addition, I have been asked by one speaker about equipment. I suspect other potential speakers for online events are also wondering the same thing.

I did discuss some equipment I have used in a post about an online party here.

Volunteers

Even though there are six of us in the main organization team there are many others who help us. However, we can always do with more volunteers to help moderate on the day.

With this in mind, if you are able to help please feel free to email us at info@dataweekender.com.

If you would rather contact a member of the organization team directly, you can contact any of us through the meetup page here.

You can find out more about the organization team by clicking on our names below.

Final word

I hope the wait for the schedule for Data Community Weekender Europe was worth it. Because everybody involved is working really hard for this event.

I can vouch for this because the time this post was first published is the time the organization team were working on the event one night.

Schedule for Data Community Weekender Europe
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