PASS SQL Saturday World Map

I had the pleasure of helping Karla Landrum (@Karlakay22) for the PASS Summit 2012 by creating two dashboards: SQL Saturday events and PASS Chapters on a world map. If you attended either SQL Saturday round table or Community Zone at the Summit, you may have seen them.

I used PowerView for Excel 2013 preview to create them and deployed to Office 365 SharePoint preview. Preview license will eventually expire, and those dashboards will be gone. So I thought I’d save them on this blog.

Since PowerView dashboards can’t be published for public access, I created similar dashboards using Tableau Public. If you’re interested in SQL Saturdays, I suggest you bookmark this page, because I plan on updating this view as new events are added in the future.

Clicking on the below image opens in a new window.

SQL Saturday World Map Dashboard

Tip: Use the + and – icons on the top left to zoom in and zoom out for a better experience!

PowerView Screen Prints

And, here are the screen prints people saw at the Summit, created using PowerView.

SQL Saturday Events on a World Map:

SQLSaturdayPowerViewworldmap_thumb5

Highlight Upcoming Events:

Upcoming_thumb4

Highlights Events for a Fiscal Year:

2011_thumb3

Drilldown by Country:

US_thumb4

User Groups by Country:

UG_thumb3

You too can create these with PowerView. Here is how:

Download Excel 2013 preview from here, and the workbook I used from here. Dan English (@denglishbi) wrote an article titled PowerView meet Excel 2013 part1 and part2. That helps you get started. Dan also wrote a book on PowerView you may to check out. I haven’t read the book yet, but I heard good things.

Conclusion

I hope you enjoyed this post. If you saw these maps at the Summit, please let me know what you thought either by leaving a comment below or by sending a tweet to @SamuelVanga. I’d greatly appreciate that.

I enjoyed every bit of volunteering on this project for Karla and PASS. I appreciate the opportunity. Karla, Thank you! And thanks to Niko Neugebauer for his constant feedback to make the dashboards look better.

I’m glad I was able to help!

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PASS Summit 2012 Twitter Dashboard

As a business intelligence developer, my skills include taking the raw data, shaking it to remove all the junk, and presenting it to business users in the most sexiest way possible – smart people often use the words ETL, and BI to define this process, but I’m not smart – I neither have glasses nor a French beard. ^_^

Since I missed the Pass Summit 2012, I closely watched twitter feed for #sqlpass. Oh boy! That was amazing! There are believers (#PASSPrayers), first timers (#sqlfirsttimers), karaoke’rs (#sqlkaraoke), repeating offenders (Alumni), runners (#sqlrun) to name a few, making This a perfect family (#sqlfamily).

That was me watching #sqlpass tweets btw
OMG! So close.

Then, I put my skills to work. Through out the summit I collected tweets that were coming in with #sqlpass and other hashtags mentioned above, imported them to a database, and created the following dashboard.

See PASS Summit 2012 as it happened on twitter. Click the image below to interact (opens in a new window).

PASS Summit 2012 Twitter Dashboard - sqlpass

Charts on the top show the top tweeters and the busiest hours. Times are shown in Pacific Standard Time. Clearly, people tweeted more during the keynote sessions and there are cool people in the top tweeters list.

When you select a tweeter, all views in the dashboard are filtered for that particular user. For example, in the below image I select BrentO (Brent Ozar). You can see everything Brent tweeted and tweets over time.

image

Similarly, you can select a time to see everything for that hour.

Last functionality I show is searching tweets. Enter a term in the search tweets filter area in the bottom left. For example, I enter ‘Boring’ to get this:

image

Good news: there are only a few tweets that reflect a boring event. Bad news: there are tweets suggesting that the event (at some point) is boring. You can see when attendees felt boring. Don’t get me wrong – It’s not my intention to convey that Summit was boring. A good BI solution tells business users when and where there are problems.

Database Backup

Download the database backup from here. It’s a SQL Server 2012 RTM database. There are three tables:

dbo.Hashtag contains all the hashtags that were collected. HashtagID is an identity column.

image

dbo.Tweep is a table to store tweeters. UserID is the unique Twitter ID for a user, it’s not Identity in the database.

image

dbo.Tweet is used to store tweets. TweetID in this table is again an unique ID generated by Twitter. Note that TweetID alone isn’t unique in this table. Primary key is TweetID + HashtagID.

image

This query removes duplicates and gives you unique tweets. Change the filter conditions as you like.

USE HashtagArchive ;

WITH cte
AS
(
SELECT tp.UserHandle
      
, tw.CreateDate
      
, tw.Tweet
      
, tw.Latitude
      
, tw.Longitude
      
, PST = DATEADD(HH,-8,CreateDate)
       ,
RowNum = Row_Number() OVER( Partition BY tw.TweetID ORDER BY (SELECT NULL))
FROM   dbo.Tweet tw
      
INNER JOIN dbo.Tweep tp
      
ON tw.UserID = tp.UserID
      
INNER JOIN dbo.Hashtag ht
      
ON ht.HashtagID = tw.HashtagID
WHERE  ht.Hashtag IN ('#Summit12', '#SqlPass','#Sqlrun','#sqlkaraoke','#sqlfamily','#ssisprecon','#PASSPrayers')
       AND
CreateDate > '2012-11-07 08:00:00.000'
)
SELECT UserHandle
      
, CreateDate
      
, PST
      
, [Date] = CAST(PST AS DATE)
       ,
[Time] = CONVERT(VARCHAR(8),PST,108)
       ,
Hr = DATEPART(HH,PST)
       ,
Tweet
      
, Latitude
      
, Longitude
FROM cte WHERE RowNum = 1
ORDER BY CreateDate ;

 

There is some noise with the #FirstTimers hashtag. I didn’t think young US citizens who voted for the first time would be on Twitter, strange! Make sure to avoid that and you’ve an archive of Twitter database for PASS Summit 2012.

Follow me and leave a comment

Too much to ask, I know! If you enjoyed this post, follow me on twitter (@SamuelVanga) – I’d love to get to know you. And leave a comment with what you discover from this dashboard.

Enjoy!

Related Posts

SQL Saturday US Map – Posted 08/03/2012

Update: 11/12/2012 08:00 PM

Chris Webb (@Technitrain on Twitter), MVP and BI Expert posted  an example using NodeXL to analyze tweets. Check it out – It’s amazing!