Telerik blogs
  • Productivity

    Step by Step: Create Node.js REST API with SQL Server Database

    How ToT2 Dark_270x123
    This article follows a step-by-step approach to help you build a REST API in Node.js that performs read and write operations on a database in SQL Server.
  • Productivity

    Online and Offline Data Access with the same Model

    Telerik Data Access makes it easy to access both online and offline storage using the same model. Find out the two easy steps that are needed in order to achieve this with MS SQL Server and SQLite.
  • Mobile

    My So-Called Enterprise Life

    Let's be honest; as developers, we have bought into a lie. Silicon Valley has told us that software is all fun and games. It's Emoji, open source and multi-billion dollar acquisitions. It's thermostats with artificial intelligence, virtual reality (again) headsets and drones. . .
    April 07, 2014
  • 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...
    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...
    September 28, 2010