CSO recently published an article based on a report from Harmonic about generative AI data leaks, and the findings were eye-opening. According to the report, over 8% of employee prompts to public large language models (LLMs) contained sensitive data, ranging from security and compliance issues to privacy and legal vulnerabilities. This wasn’t just a handful […]
Today Steve asks if you track the details of your table growth inside a database.
There are many functions and tools available to database professionals that can solve data math challenges, regardless of complexity.
Learn about how you can efficiently load data in Azure Synapse.
The job outlook for database professionals is good, but it's not that easy to get a great job. Steve has some advice for you today.
SQL 2022 introduced the function generate_series which permits us to solve problems for which we previously had to use a table of numbers (also known as a "tally table"). generate_series is a great addition, because when using a table of numbers there was always a risk that you could run out of numbers. Or some joker could have deleted rows from the table. All these worries are gone with generate_series.
Geographic information systems (GIS) play a critical role in emergency response planning and risk assessment. One of the key challenges in this field is determining whether a specific location falls within an area of interest. This capability is especially valuable for property and casualty (P&C) insurers, who need to assess their insured property exposure when severe weather events such as tornadoes occur.
Steve has a few thoughts on natural keys, which often turn out not to be as unique as we expect.
Do you wonder why SQL Server ignores an index? Do you think about how you can deal with this problem? When you include too many columns in a query you decrease index selectivity. So, if you write a query like “Select * From …” the chance of choosing your nonclustered index will decrease.
There was a post on X I read today about valuing your time. The gist was that since this person had waited 9 minutes to save $4, they valued their time at $27 an hour. I get the point being made. Time is valuable and you need to set the value of your time. It […]
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...
Comments posted to this topic are about the item Using OPENJSON
Comments posted to this topic are about the item Data Modeling with dbt for...
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