As you may know, SQL Server In-Memory OLTP introduced in SQL Server 2014 offers great performance improvements for ETL processes. In this tip we cover techniques you need to know about various behaviors of SQL Server In-Memory OLTP depending on the options you select.
Too many meetings happen in software teams. Steve Jones says that when scheduling meeting, you should be aware of the cost, and only include those people that need to be there.
SQL Server expert David Poole discusses how teams can work together and share templates in Management Studio.
In this tip, Dallas Snider explains how to interpret the Lift Chart found on the Mining Accuracy tab of a SQL Server 2014 Analysis Services Data Mining structure.
The Project Deployment Model introduced in SSIS 2012 speeds up the deployment of database projects in which there may be hundreds of SSIS packages per project. Not only that, but deployments can be configured differently for each environments such as test and staging, and there are now ways of monitoring the status and performance of packages and of versioning the SSIS Catalog.
This editorial was originally published on November 12, 2009. It is being re-run as Steve is on holiday. Virtualization is touted as a great way to save money, but it's a one time event. Once you've consolidated a server, you can't do it again. However consolidation isn't necessarily the same and Steve Jones tells us why.
A technique to deal with lack of metadata for stored procedures when used with SSIS.
Data and databases are historically ignored or given a low priority within the processes of ALM and DevOps. This situation needs to change and the primary point of the changes is within the database professional part of the team.
This is the last article related to Data Mining in Excel. This last chapter will cover the Analyze section.
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I have a SQL Server 2022 English default installation on a server. I want to detect if there are any upper case characters in rows and I have this code:
SELECT CustomerNameID,
CustomerName
FROM dbo.CustomerName
WHERE CustomerName = LOWER(CustomerName)
Here is the sample data I am testing with:
CustomerNameID CustomerName 1 John Smith 2 Sarah Johnson 3 MICHAEL WILLIAMS 4 JENNIFER BROWN 5 david jones 6 emily davis 7 Robert Miller 8 LISA WILSON 9 christopher moore 10 Amanda TaylorHow many rows are returned? See possible answers