Massively Parallel Processing and the Parallel Data Warehouse
Data growth is related to Moore’s law. As computers get faster and more powerful, we are using them to process...
2012-04-15
7,797 reads
Data growth is related to Moore’s law. As computers get faster and more powerful, we are using them to process...
2012-04-15
7,797 reads
MS has announced the new road for the SQL Server Certifications. All of the interested folks knows that the old...
2012-04-14
2,070 reads
Pivot Table:- Pivot tables are used to summarize and display the data, specially in case of report data by means...
2012-04-14
39,591 reads
Date: May 19, 2012
Location: SQLSaturday #119, Chicago
Abstract:
Ever thought about trying your hand at blogging? Or maybe you’ve started a blog...
2012-04-14
572 reads
I’m very excited for the invitation to present at TechDays Albania 2012, which will be held on April 19, 2012...
2012-04-14
1,833 reads
Linchpin People, LLC is an organization led by Brian Moran and Andy Leonard with Mike Walsh and Robert Pearl as...
2012-04-13
1,008 reads
I was chosen to speak at SQL Saturday 111 in Atlanta GA this weekend. I will be doing my session...
2012-04-13
568 reads
Well I’ve now done the final SQL Server 2012 exam I managed to get a slot booked for. The Querying...
2012-04-13
3,508 reads
In case you didn’t see the email come through for PASS this week the SQL Rally schedule is now available. ...
2012-04-13
1,023 reads
SQL Server Data Tools (SSDT) is a Business Intelligence Development Studio (BIDS) replacement, meaning it has a suite of Visual...
2012-04-13
11,499 reads
Every organization I talk to has the same problem dressed up in different clothes....
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Comments posted to this topic are about the item The day-to-day pressures of a...
We need to replace our Windows server running SQL 2017. Any reason not to...
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