Performance Myths: Table variables are always in-memory
Guest author Derik Hammer dismisses the common myth that table variables perform better than temp tables because they are always in memory.
Guest author Derik Hammer dismisses the common myth that table variables perform better than temp tables because they are always in memory.
In this article (consist from 2 parts) , I will be focusing on one of the practical solutions for management of internal SQL Server jobs in AlwaysOn Availability Groups scenarios.
SQL Data Mask is the latest prototype to come out of Redgate Foundry. It copies your database while anonymizing personal data, and you can use it to mask your databases right now, free of charge. Here are the details.
Steve Jones is off to Seattle for the rest of the week attending Microsoft Build 2017.
This article describes a lightweight copy-and-generate approach for making a sanitized version of a production database available to development teams with SQL Clone and SQL Data Generator.
When there are several SSIS projects with packages in a SQL Server Database or Data Warehouse development, automated deployments as part of Continuous Integration can get tricky. Nat Sundar describes how he created a Deployment script that is intended to provision a Data Warehouse for System Integrated testing (SIT).
In this chapter, we will show how to create a Machine Learning experiment from our Azure SQL Warehouse.
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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