SQL Server’s GROUP BY clause provides you a way to aggregate your SQL Server data and to group data on a single column, multiple columns, or even expressions. Greg Larsen discusses how to use the GROUP by clause to summarize your data.
2015-02-11
12,133 reads
Surely, we all know how T-SQL Control-of-flow language works? In fact it is surprisingly easy to get caught out. What, for example, do the BREAK, RETURN and CONTINUE keywords do in their various contexts? Robert Sheldon has the answers to this and other questions.
2015-02-10
12,511 reads
In this tip, Dallas Snider shares his experience with how someone can start learning T-SQL from the beginning with no prior knowledge.
2015-02-09
8,946 reads
The adoption of Continuous Delivery often leads to the discovery of suboptimal practices within an organisation, and the Release Testing antipattern is a common example. Steve Smith explores the questions: what is Release Testing, and why is it an example of Risk Management Theatre?
2015-02-06
7,118 reads
SQL Saturday is a full-day technical conference and training event with international speakers. With over 20 sessions on SQL Server and a separate pre-con, the event is aimed at all those interested in SQL Server - from pros to beginners. This event will be on February 28, 2015, so register while space is available.
2015-02-06
6,987 reads
After discussion the main concepts and basic API calls for Azure Storage Queues in parts 1 and 2 of this series, Roman Schacherl turns his focus to two topics that no one likes to implement but everybody needs: security and performance.
2015-02-05
7,183 reads
SQL Server Data Collector, together with Management Data Warehouse, is a fine and useful component for gathering information centrally about how SQL Server instances are being used, and thereby keeping an eye out for problems. It comes into its own when you have figured out how to configure it to run on maybe hundreds of instances using Central Management Server. Dennes describes how to tame the system so that it scales.
2015-02-04
8,923 reads
Big data is everywhere, and most large IT enterprises have installed one or more big data applications. These applications provide fast access to large stores of data, usually customer or sales data. Your technical staff that supports these applications and the systems that analyze and consume the data didn't exist ten years ago. Who are these new IT professionals, and how should you manage them?
2015-02-03
8,327 reads
SQL-based distributed Cloud Relational databases aren't new, but Amazon's Aurora offers an alternative to SQL Azure, and, being MySQL-compatible, provides the obvious route to the cloud for hosted LAMP web applications.
2015-02-02
8,160 reads
ETL ( Extract, transform, load) doesn't have to be like a spell on hell. To make a success of ETL systems, you need the freedom and ability to make graceful U-turns when you detect a mistake in architecture or configuration: to fix the root problem rather than to merely tackle the symptoms. Feodor lists the eight most common root causes of failure in ETL systems, and how to fix them.
2015-01-30
13,243 reads
By Brian Kelley
I wear many hats in technology, and one of those is as a (cyber)security...
By Steve Jones
We keep adding stuff to Redgate Monitor, and it’s easy to miss some of...
By Brian Kelley
The following came across my YouTube feed today. It’s an interview with General James...
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What are vectors in SQL Server 2025, as related to the new AI features?
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