In this post, Tim Smith looks at the different options you can use to audit your SQL Server extracts and loads during the ETL process.
You will see here a way to handle history tables. This way only takes into account Date-based data cleanup but is easily generalizable.
This week Steve asks you to make sure you practice your restore skills periodically.
Steve Jones saw a database design test for developers, but he's never been given one.
What native SQL Server options are available to export to Excel? Jeremy Kadlec explains.
This week Steve Jones wonders what you might do if you discovered data corruption.
Using R to detect outliers is relatively easy, but most methods assume your data is normally distributed. How do you handle skewed datasets?
Tim Radney of SQLskills walks through multiple automation methods you can use to manage and maintain your Azure SQL Databases.
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Comments posted to this topic are about the item 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 beerIf I run this, what is returned?
select t1.key
from openjson((select t.* FROM Beer AS t for json path)) t1 See possible answers