Coping with a working life as an imposter
It is not existing knowledge but the skill of acquiring new knowledge rapidly that will help you overcome imposter syndrome.
SQL Server on Amazon RDS vs SQL Server on Amazon EC2
Exploring briefly the difference between using Amazon Machine Images running SQL Server and using SQL Server instances on Amazon's Relational Database Service.
Would You Move For a Job?
Today we have a guest editorial from Andy Warren as Steve is on vacation. Would any job be enough for you to uproot your life?
Posting SQL Server Notifications to Slack
In this article we look at how to send Slack notifications when certain events occur in a SQL Server database.
Solving Real Problems
Today we have a guest editorial where Grant talks about being effective and practical in your world.
Heaps in SQL Server: Part 3 Nonclustered Indexes
Uwe Ricken continues his series on heaps. This time he demonstrates a common scenario where the query against a heap is faster than a clustered index.
Aiming for Better Data Governance
Today Steve gives a reason why your organization might consider improving its data governance.
Stairway to Biml Level 7 – Populating the Database for a Custom Biml Framework
In this next level of the Stairway to Biml, we look at a custom framework in Biml.
Power BI Histogram Example using DAX
Companies use a Bell Curve approach to measure performance. As part of this approach they create a histogram. A histogram is a statistical concept and according to Wikipedia it is defined as a graphical distribution of the numerical data. A histogram is made of several bins and bins can be considered a range of values or a benchmark
When SQL Server Performance Goes Bad: Rogue Indexes
Phil Factor explains how SQL Monitor helps focus performance tuning efforts on the tables and queries where 'rogue indexes' might be a significant problem, and then how to identify both 'missing' indexes that might be beneficial to the overall workload, and those that are unused or duplicated, and so are doing more harm than good.
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...
Daily aggregation of Azure Blob Storage by tier (created/tier-change/deleted)
Hello all, I’m looking for advice on how to derive a daily snapshot table...
SQL 2017 to SQL 2025. Good to Go ?
We need to replace our Windows server running SQL 2017. Any reason not to...
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