Personal Development
Steve Jones thinks that a personal development plan is important and talks today a little about how you should build one.
Guidelines for Using Natively-Compiled Stored Procedures in SSIS Packages
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.
Minimal Meetings
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.
Templates and teamwork
SQL Server expert David Poole discusses how teams can work together and share templates in Management Studio.
Explaining The SQL Server 2014 Analysis Services Data Mining Model Lift Chart
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.
SSIS 2012 Projects: Deployment Configurations and Monitoring
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.
Consolidating Again and Again and Again
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.
Using SQL Server Stored Procedures in SSIS Data Flow Sources
A technique to deal with lack of metadata for stored procedures when used with SSIS.
Building an Automated Database Deployment Pipeline
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.
Blogs
Using CAT for Testing of Data Agents
In last months one of the scenarios where you can use AI has been...
Are you getting value from your reporting?
By ChrisJenkins
Do you spend so long manipulating your data into something vaguely useful that you...
The Book of Redgate: SQL Server Central
By Steve Jones
It was neat to stumble on this in the book, a piece by me,...
Forums
Foreach Loop still executes after process and delete all the folders
I have two challenges XML source control not displaying the XML file parent node...
Which 'Where' statement conditional upon a variable
Thanks in advance for any clues on this. I am trying to write a...
Backup to Immutable Storage
Comments posted to this topic are about the item Backup to Immutable Storage
Question of the Day
Backup to Immutable Storage
In SQL Server 2025, a backup can be made on Azure Immutable Storage. What changes in how the backup is created?
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