Productivity

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...

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If you have contacted Telerik support before, chances are that you have been asked to send us a sample project. The time invested in isolating a problem before opening a ticket is well paid off. Such tickets require less time for investigation and are usually closed with only one or two replies. In almost all cases the problem can be easily isolated by following a few simple guidelines. Here they are.