Cursors are considered by many to be the bane of good T-SQL. What are the best ways to avoid iterative T-SQL and to write queries that look and perform beautifully? In the next part of an ongoing series, we look at ways to efficiently retrieve recently modified data.
2014-06-02
7,067 reads
The way to learn PowerShell is to browse and nibble, rather than to sit down to a formal five-course meal. In his continuing series on PowerShell one-liners, Michael Sorens provides Fast Food for busy professionals who want results quickly and aren't too faddy. Part 3 has as its tasty confections - Collections, Hashtables, arrays and strings.
2014-06-02
4,798 reads
Should you be using Report Builder 3.0 or SQL Server Reporting Services 2008 R2 to build reports? Here's the 411!
2014-05-30 (first published: 2012-03-27)
31,611 reads
Microsoft Azure Queues are a ready-to-use service that loosely connects components or applications through the cloud. This article is the first part in a five-part series about Microsoft Azure Cloud Services by Roman Schacherl.
2014-05-30
2,469 reads
Learn how relationships work in Powerpivot workbooks and how you can build them using the DAX language.
2014-05-29
3,129 reads
After experiencing 'merge misery' personally, Konrad Lukasik came up with 10 well-tested ways of making branches and merges a stress-free part of application development.
2014-05-29
7,273 reads
There are several ways to implement encryption in SQL Server; Arshad Ali focuses on Transparent Data Encryption (TDE), which was introduced in SQL Server 2008 and is available in later releases.
2014-05-28
3,280 reads
2014-05-27
1,130 reads
As a DBA, it is vital to manage transaction log growth explicitly, rather than let SQL Server auto-growth events "manage" it for you. If you undersize the log, and then let SQL Server auto-grow it in small increments, you'll end up with a very fragmented log. This article demonstrates how this can have a significant impact on the performance of any SQL Server operations that need to read the log.
2014-05-27
3,916 reads
Many big data application implementations seem to begin with an existing data warehouse, one or more new high-volume data streams, and some specialized hardware and software. The data storage issue is often accommodated by installing a proprietary hardware appliance that can store huge amounts of data while providing extremely fast data access. In these cases, do we really need to worry about database design?
2014-05-26
5,297 reads
By Brian Kelley
My most recent bout with imposter syndrome was with ISACA’s Digital Trust Ecosystem Framework...
By Steve Jones
“On the way to a grand goal, celebrate the smallest victories as if each...
Materialized lake views (MLVs) in Microsoft Fabric are an effective way to implement medallion...
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How can I alter the deadlock detection interval to 2 seconds instead of 5 seconds on my SQL Server 2025 instance?
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