Database Lifecycle Management

External Article

A DLM Approach to Database Testing

  • Article

Database Lifecycle Management aims to make the development and modification of databases more predictable. Bugs are the source of more unpredictability than anything else, purely because it is so difficult to guess how long it will take to fix them. Good testing at all stages may take some time and effort, but it greatly reduces likelihood of the wildcard factor of the bug that is first detected during the deployment process; or worse, that gets into the production release.

2017-06-26

3,875 reads

External Article

Introducing DLM Techniques for a Multi-Database Multi-Server System

  • Article

Although the techniques of Database Lifecycle Management can reduce the timescales for the delivery of new functionality to business systems, what if the database 'layer' consists of several large interdependent databases and data flows with replication and audit? Does DLM scale to this level of complexity? Margaret Cruise O'Brien starts a series of articles that describes the practicalities of improving DLM within an existing framework and team supporting a multi-database multi-server system, by describing some of the database management problems and solutions in an enterprise-scale database.

2017-06-02

2,744 reads

External Article

Planning for Successful Data Management

  • Article

It is the data, in particular, that sets Database Lifecycle Management apart from the mainstream of application delivery. Data entities, and the way that organisations understand and deal with them, have their own lifespan. If we neglect the management of data, we risk disaster for the organisations that use it. If we take data management seriously, databases become a lot easier.

2017-02-01

5,732 reads

External Article

Planning for a Successful Database Lifecycle

  • Article

Although it is well-known that the best efforts of a development team can be derailed by mistakes in the architecture, design and general governance of a development project, few attempts have been made to describe what needs to be done to increase the chances of success in the development of a database application. William Brewer steps into the breach to itemise what a delivery team needs to succeed.

2016-07-19

4,978 reads

External Article

Microsoft and Database Lifecycle Management (DLM): The DacPac

  • Article

The Data-Tier Application Package (DacPac), together with the Data-Tier Application Framework (DacFx), provides an alternative way to automate the process of scripting out, or deploying a SQL Server database, reporting on changes, or checking version-drift. As such, it seems to provide an obvious cost-free start for tackling automated Database Delivery as part of Database Lifecycle Management (DLM). We asked Phil Factor if it is ready for Prime-time.

2015-08-05

5,584 reads

External Article

Integrating Database Lifecycle Management into Microsoft's Application Delivery Process

  • Article

In order to automate the delivery of an application together with its database, you probably just need the extra database tools that allow you to continue with your current source control system and release management system by integrating the database into it. If you're using the Microsoft stack, then Redgate's tools can help with some of the difficult database parts of the process, as Jason Crease demonstrates.

2015-03-24

8,081 reads

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Split Large Queries in Athena with a Simple Modulo Trick

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Finding Trailing Spaces

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Question of the Day

Finding Trailing Spaces

I have some data in a SQL Server 2025 database. It looks like this for the dbo.Customer table: 

CustomerID CustomerName PreferredName
1          Steve        Steve               
2          Andy         Andy               
3          Brian        Brian               
4          Allan        Allan               
5          Devin        Devin               
6          Steve        Steve               
7          Sally        Sally
I want to detect which names have a single trailing space. The CustomerName is a varchar() and the PreferredName is a CHAR(). Does this query detect the problem rows? 
SELECT 
       CustomerID,
       CustomerName,
       PreferredName
FROM Customer
WHERE CustomerName <> RTRIM(CustomerName)
OR PreferredName <> RTRIM(PreferredName);

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