Tales From The Field Weekly Wrap Up for the Week of 03-13-2023 & SQLBits 2023
Hello Dear Reader! What an incredible week we had. I started off traveling on Monday of last week. At the airport I ran into my friend David Pless (...
2023-03-20
13 reads
Hello Dear Reader! What an incredible week we had. I started off traveling on Monday of last week. At the airport I ran into my friend David Pless (...
2023-03-20
13 reads
As many of you are aware, I have been dealing with a progressive version of ALS which is affecting my hands and arms and thus my ability to type....
2023-03-20 (first published: 2023-03-09)
115 reads
Thanks to everyone that came to my talk at SQL Bits. Powerpoint here for download. If you have questions, reach out.
2023-03-19 (first published: 2023-03-18)
16 reads
In this blog post let us stop for a second and see where we are in this whole create an Azure Data Explorer cluster and ingest data.High level summary...
2023-03-19
28 reads
This blog post is rare because I am dedicating it to my good mate Bryn Lewis who spoke recently at a community event I ran (the first free community...
2023-03-19
73 reads
In my previous blog post KQL Series – ingesting data using Azure Stream Analytics I talked about one of the more easier ways to ingest data – which is via...
2023-03-19
163 reads
This blog post is about another method of ingesting data into Azure Data Explorer. Azure Stream Analytics is a cloud-based stream processing service that allows us to ingest and...
2023-03-19
29 reads
This blog post is about using event grid to ingest data into Azure Data Explorer and was a method I had to use with a client. It was awesome...
2023-03-19
95 reads
In the previous blog post we created a database in our Azure Data Explorer (ADX) cluster. In this blog post we will discuss how we can ingest data into that database...
2023-03-19
57 reads
Your mission, if you chose to accept it, was to share a single tip/hint/fact/something that you wish you’d known about PostgreSQL when you were just getting started learning it....
2023-03-17 (first published: 2023-03-06)
120 reads
By HeyMo0sh
Working in DevOps, I’ve seen FinOps do amazing things for cloud cost control, but...
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...
Comments posted to this topic are about the item The day-to-day pressures of a...
Hello all, I’m looking for advice on how to derive a daily snapshot table...
We need to replace our Windows server running SQL 2017. Any reason not to...
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