The Journey to Change
Many of us have a journey, either to SQL Server, or in today's world of many databases, perhaps away from SQL Server. Steve looks at his, and another's, journies.
What Happens When Multiple Queries Compile at Once?
An interesting question came in on PollGab. DBAmusing asked: If a query takes 5-7s to calculate the execution plan (then executes <500ms) if multiple SPIDS all submit that query (different param values) when there’s no plan at start, does each SPID calc the execution plan, one after the other after waiting for the prior SPID to finish?
Server Dashboards in Azure Data Studio
Azure Data Studio (ADS) is a lightweight IDE built on Visual Studio Code. I've written a few articles on how the tool works, and this one continues the series. In this article, I want to look at the server and database dashboards and how you can customize them. Another article will cover the Database dashboards. […]
A First Look at SSMS 20
Recently Microsoft released SQL Server Management Studio (SSMS) v20.0, which is a major release of the primary tool that many of us use to work with SQL Server. Over the last few years, the tools team at Microsoft has worked to separate the tools from the various editions, giving us separate SSMS downloads. There have […]
Managing Files and Folders with Python – Data Engineering with Fabric
In this article, learn how you can manage files and folders for both full and incremental loading situations.
The Cloud Database Cost Analysis
Managing costs in the cloud is something many companies are concerned about. Today Steve thinks that technical people will bear more responsibility for this in the future.
What is Eventstream in Microsoft Fabric? - Part 1
Learn about Eventstream in Microsoft Fabric to ingest, transform, and route real-time data to certain destinations in a low-to-no-code SaaS fashion.
Another View of DevOps
Steve does a lot of work with teams trying to adopt DevOps, and today has another description of what this can mean for your team.
Quick and Effective Migration Between CosmosDB Collections Using ADF
This document aims to explain the process of using ADF (Azure data Factory) to make a copy of a Cosmos DB (Instance A) collection into a new collection in another Cosmos DB Instance effectively and cost effectively. For example, here is our Instance A in the Data Explorer: Here is Instance B: We are looking […]
The Profiler Extension in Azure Data Studio (ADS)
This article covers the basics of the Profiler extension in Azure Data Studio, a handy way to trace your application calls.
Blogs
Why your data still can’t answer a simple question
Every organization I talk to has the same problem dressed up in different clothes....
T-SQL Tuesday #197 Invitation – An impactful session or two from a conference
By DataOnWheels
I am delighted to host this month’s T-SQL Tuesday invitation. If you are new...
Did You Really Name That Default?
By alevyinroc
Ten years (and a couple jobs) ago, I wrote about naming default constraints to...
Forums
The day-to-day pressures of a DBA team, and how we can work smarter with automation and AI
Comments posted to this topic are about the item The day-to-day pressures of a...
Using OPENJSON
Comments posted to this topic are about the item Using OPENJSON
Data Modeling with dbt for Visual Code: The Fabric Modern Data Platform
Comments posted to this topic are about the item Data Modeling with dbt for...
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 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