SQL Server vs SQL Server v.Next
An introduction to the basics of current SQL Server vs v.Next Performance Testing.
2017-02-15
3,620 reads
An introduction to the basics of current SQL Server vs v.Next Performance Testing.
2017-02-15
3,620 reads
Erin Stellato takes a look at the new COMPRESS and DECOMPRESS functions, comparing their impact on space and performance to traditional data compression.
2017-02-15
6,456 reads
Steve Jones explains how SQL Clone can be used to create multiple copies of a database for different testing scenarios, while using just a fraction of the disk space. For example for developers to experiment in sandbox environments, with full copies of large databases, without the hassle and delays of restoring backups or copying database files.
2017-02-14
931 reads
A data model is far more powerful than simply a set of build instructions for DBAs. It can be used to shape business thought and actions for the benefit of all.
2017-02-14
2,026 reads
In this edition of Office Hours, Brent, Erik, and Richie discuss AlwaysOn Availability Groups, execution plans, speeding up log shipping, applying wrong service packs, their favourite high availability solutions, and more.
2017-02-14
3,764 reads
In this article, we will use SSIS to import a CSV file to Azure SQL Data Warehouse.
2017-02-13
1,457 reads
If you are a DBA who hasn't so far dived in head-first into using Azure, it is worth setting up an Azure 'Virtual Lab' environment the easy way, using a template. This will then allow you to experiment, try things out with SQL Azure, and get familiar with Resource Groups. Joshua shows how to build a virtual lab, from the ground up in the first of a series that aims to give you a grounding in Azure.
2017-02-13
5,534 reads
Learn how to approach performance tuning in this piece from SQL Server MCM and MVP, Gail Shaw.
2017-02-10 (first published: 2015-06-08)
16,759 reads
Using wildcard to find patterns in strings going from the basics to some more complicated conditions.
2017-02-10 (first published: 2015-09-29)
19,270 reads
In many enterprises, where there are a number of separate systems engaged in processing data, there arises the daunting task of checking and reconciling data as it flows between systems. Discrepancies in data must be detected, tracked and corrected as quickly as possible: there is no room for error in doing this. A Reconciliation Hub can provide the answer, as Rahul Gupta explains.
2017-02-10
3,524 reads
I’ve been doing storage load tests for SQL Server for a long time, both...
By Steve Jones
I had a few random questions from my Running a Local LLM on Your...
By Arun Sirpal
For those entering the AI space whether professionally or personally I wanted to give...
I have an app that has an address field on the customer and the...
Good Afternoon, I have a Job which "fires" off an SSIS package (that is...
Comments posted to this topic are about the item T-SQL in SQL Server 2025:...
How do I easily get the next 12 sequence values from a sequence object?
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