Building Better Training Opportunities
Finding training opportunities can be a challenge in many organizations.
Finding training opportunities can be a challenge in many organizations.
Data masking really has come of age. Gartner’s 2018 Market Guide for Data Masking has just been published and predicts that the global enterprise use of data masking (DM) or similar de-identification techniques will rise to 40%, an increase from 15% in 2017. And Redgate is acknowledged in the Guide as a representative vendor for Data Masking.
Regulations may require that you audit exactly who does what in your databases. Robert Sheldon explains how SQL Server can help you meet those requirements with its built-in auditing capabilities.
Learning about new jobs is a good way to help decide if you want to change careers.
Data Migration Assistant (DMA) to Check for SQL Server Compatibility Issues and Perform assessment when Migrating to Azure SQL Database or to SQL Server on an Azure Virtual machine.
Steve is looking for people to use the Query Data Store and share their stories, good or bad.
In this tip we look at how you can monitor Azure health to know if there are any issues that may interupt your services running on Azure.
Testing our database code is a fairly immature process for many of this, but perhaps we could build a guide that helps everyone learn to write better and more comprehensive tests.
Acknowledging fundamental design flaws lead to a more flexible, maintainable phonetic framework
In theory, you get better execution plans when SQL Server understands the contents of your tables. In practice, well, it's hit or miss.
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