.NET news » Database 
Toolbox: Data Integration Tools and Resources
Data integration is the cornerstone of many apps these days, which means you’ll need to add database expert to the many hats you wear. Or maybe not. We’ll show you some handy tools and resources for maximizing data access while minimizing muss and fuss.
Wordley
A look-up dictionary based on the WordNet database, with auto-complete spelling assistance.
SQL Server CE Query Tool
User friendly query designer and data manipulation tool for SQL Server CE.
Implementing a Tree Structure with Database
This article describes implementing and manipulating a tree structure by means of SQL
An Introduction to Sql Server 2011 (Code Name Denali) –Part II (T-Sql Features in CTP 1)
In this article we will explore on the new features that Denali has offer us from a T-Sql perspective
27 Feb 2011, 21:42:00 Source: An Introduction to Sql Server 2011 (Code Name Denali)...
Tags: Database
nHydrate ADO.NET Generator
How to use the nHydrate ADO.NET generator and keep your database in sync
FileDb - A Simple NoSql Database for Silverlight, Windows Phone and .NET
How to use FileDb as a local database in your .NET, Silverlight and Windows Phone applications
19 Feb 2011, 04:33:00 Source: FileDb - A Simple NoSql Database for Silverlight, Windows...
Tags: Database
Forecast: Cloudy: Branch-Node Synchronization with SQL Azure, Part 2: Service-Based Sync
Learn how using Windows Azure to sync corporate databases lets you scale to many more end nodes than are possible with direct-to-database synchronization.
31 Jan 2011, 18:00:00 Source: Forecast: Cloudy: Branch-Node Synchronization with SQL...
Tags: Database
Crossing WCF boundaries with a configuration-less dynamic self-adaptive ORM library
An extension to the KyneticORM library that permits seamless database operation in WCF scenarios
28 Jan 2011, 19:58:00 Source: Crossing WCF boundaries with a configuration-less dynamic...
Tags: Database
SQL for Developers: Data Crunching
The developer's guide to getting the right information out of mountains of data. Learn how to boil down the data into useful information while being confident that you haven't left any data behind.

