Articles

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SQL GROUP BY Basics

It sometimes pays to go back and look at what you think you already know about SQL. Joe Celko gives a quick revision of the GROUP BY and HAVING clauses in SQL that are the bedrock of any sort of analysis of data, and comes up with some nuggets that may not be entirely obvious.

2016-03-08

6,672 reads

Technical Article

SQL Server T-SQL Tuning -TVF and Scalar Functions

A UDF is very convenient for centralising business logic as we can specify a set of business logic in one UDF which references multiple stored procedures and ad-hoc queries. However, they can lead to significant performance degradation due to their demands on the CPU

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2016-03-04

4,848 reads

External Article

ReadyRoll is a Fully Fledged Redgate Tool

In June last year we got in touch to let you know that Redgate acquired ReadyRoll. Over the last few months, ReadyRoll went from a one-man project to having a team of developers, testers, and support engineers behind it. Dan Nolan, the founder of ReadyRoll, is now a product manager at Redgate. And next week it’s time for ReadyRoll to become a fully-fledged Redgate tool available from www.red-gate.com.

2016-03-03

4,385 reads

External Article

The SQL Server 2016 Query Store: Built-in Reporting

One of the most important features of the SQL Server 2016's new Query Store is the reporting. With these features, it is now possible to get a wealth of information on how your query workload is performing, either aggregated for the entire query workload or for a single query. With this information, you can see the effects of 'forcing' an execution plan for specific queries and get feedback of the consequences.

2016-03-03

3,901 reads

Blogs

The Mystery of SQL Server 2025’s New Tricks – Scooby Dooing Episode 5

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A Prompt AI Experiment

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SQL Server Is Slow (part 1 of 4)

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SQL Server, Heaps and Fragmentation

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Stairway to Azure SQL Hyperscale – Level 2: Page Server Architecture Explained

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Question of the Day

SQL Server, Heaps and Fragmentation

A table without a clustered index (heap) will NOT suffer from fragmentation during frequent updates or deletes. True or False?

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