Telerik blogs

Tag: Data

  • Release

    Dynamic Data Support for OpenAccess ORM in Q3 2011 Release

    In past releases, we included an example in our SDK that showed customers how to work with Dynamic Data projects when using OpenAccess ORM.  The process was not as straightforward as we would have liked, but it worked.  In this release we are excited to announce that we have greatly simplified this process by adding wizards, and a new provider, allowing OpenAccess ORM to work directly with .Net 4.0 Dynamic Data Web Applications, and Web Sites. Getting Started To use this new functionality, the first thing you need to do is build a Telerik OpenAccess ORM domain model. Once the domain...
    by Ivailo Ivanov
    November 23, 2011
  • Web

    Batch CRUD Operations With Kendo UI DataSource

    Last week we posted a primer on the DataSource and Models that are available in the Beta 2 release.  The post showed some basic operations with the models.  Today we follow up with a more in-depth look at the DataSource doing actual CRUD operations and generating views. Views In...
    Burke Holland is the Director of Developer Relations at Telerik by Burke Holland
    November 08, 2011
  • Web

    DataSource Syncing And Models In Beta 2

    One of the lesser talked about and yet really useful features of the Beta 2 release is the introduction of Kendo UI models and the concept of “syncing” with the Kendo UI DataSource.  It was mentioned briefly in the Beta 2 release announcement last week. One of...
    Burke Holland is the Director of Developer Relations at Telerik by Burke Holland
    October 18, 2011
  • Productivity

    Building a Data Warehouse Part V: Application Development Options

    [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...
    by Steve Forte
    October 01, 2010
  • Productivity

    Building a Data Warehouse Part IV: Extraction, Transformation, and Load

    [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 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. Today we are going to look at how to populate those tables and keep them in sync with your OLTP system. No matter where your data warehouse is located, the biggest challenge with a...
    by Steve Forte
    September 28, 2010
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