Productivity

With the release of TeamPulse 2010 Q3 Beta, TeamPulse now supports TFS 2010 Work Item Synchronization! This blog post is meant to give you an overview of the Beta features related to Sync. How to add a TFS Server for Sync with TeamPulse The first step is to give TeamPulse the information it needs to communicate with your TFS Server. This is all done on the Manage Sync Servers screen in TeamPulse. You can access that screen via the Ribbon button located on the Project tab. On that screen, use the Add Server Button. Once added to TeamPulse, the TFS ...

As you might or might not know for some time now we have been working on a tool that would make migrating from Linq2Sql to Telerik OpenAccess a breeze. Yesterday (the 13th of October) we released an internal build including a beta version of the new Telerik OpenAccess Linq to SQL converter. In a few simple steps I would like to explain both how to use the tool and the capabilities and important considerations you should know about. First of all for the purpose of demonstrating the converter, we will use this simple LINQ to SQL model : The model contains the following items...

Recently, while i was working with a support issue, I found this interesting piece of test code that i would like to share here. This is actually written by Stefan Lieser (clean code developer from Germany forwarded to me by Jan from Telerik Germany).

One of RadChart’s most powerful features is its support for DataBinding. This means that as long as you correctly format your data source, you shouldn’t have to write any backend code to support the generation of the chart. Using a data source with a control as powerful and complex as the RadChart can unfortunately be somewhat confusing. In this post, I’ll shed some light on one of the scenarios you are sure to come across, displaying incremental DateTime values from a data source in the X-Axis of RadChart. Setting Up the Data Source RadChart does not work directly with DateTime ...

[repost from Stephen Forte's Blog] See also: Part I: When to build your data warehouse Part II: Building a new schema Part III: Location of your data warehouse Part IV: Extraction, Transformation, and Load In Part I we looked at the advantages of building a data warehouse independent of cubes/a BI system and in Part II we looked at how to architect a data warehouse’s table schema. In Part III, we looked at where to put the data warehouse tables. In Part IV, we are going to look at how to populate those tables and keep them in sync with your OLTP system. Today, our last part in this...