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Unstuck

Have you ever been stuck in some area of your life? Maybe at work? That big project. Progressing in your career. The slow query that seems impossible to make faster. Learning new skills to switch careers. Maybe outside of work? The weekend home project that’s been going on for more than a few weekends… possibly […]

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Bad Data and Dirty Databases

Many years ago, my wife and I wrote an article for Datamation, a major trade publication at the time, under the title, “Don’t Warehouse Dirty Data!” It’s been referenced quite a few times over the decades but is nowhere to be found using Google these days. The point is, if you have written a report using data, you have no doubt felt the pain of dirty data and it is nothing new.

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Question of the Day

Using OPENJSON

I have some data in a table that looks like this: 

BeerID BeerName    brewer               beerdescription
1      Becks       Interbrew            Beck's is a German-style pilsner beer 
2      Fat Tire    New Belgium          Toasty malt, gentle sweetness, flash of fresh hop bitterness.
3      Mac n Jacks Mac & Jack's Brewery This beer erupts with a floral, hoppy taste
4      Alaskan Amber Alaskan Brewing     Alaskan Brewing Amber Ale is an "alt" style beer
8      Kirin       Kirin Brewing         Kirin Ichiban is a Lager-type beer
If I run this, what is returned? 
select t1.[key]
    from openjson((select t.* FROM Beer AS t for json path)) t1

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