It's critical to understand that FromSql is much more limited than SqlQuery in terms of what it can return. SqlQuery, which was available from the DbContext's Database object, allowed you to submit ...

Relational databases aren't designed to make programming against them easier, but to ensure performance, data consistency and concurrency. Seldom do developers work directly with data in the form that ...

LINQ to SQL and Entity Framework (EF) are both object/relational mapping (O/RM) tools for .NET, so it's not surprising that they share many common features. This table compares the most significant ...

SQL is neither the fastest nor the most elegant way to talk to databases, but it is the best way we have. Here’s why Today, Structured Query Language is the standard means of manipulating and querying ...

Introduce the concepts about relational models. Train students on how to convert a conceptual entity relationship model to a relational model. Introduce students with the reasons and process of ...

A relational database is a set of formally described tables from which data can be accessed or reassembled in many different ways without having to reorganize the database tables. The standard user ...

Even with all the hype around NoSQL, traditional relational databases still make sense for enterprise applications. Here are four reasons why. Dave Rosenberg Co-founder, MuleSource Dave Rosenberg has ...

An ORM (Object Relational Mapping) tool is one that is used to abstract the data access logic of your application. You can use ORM to bridge the apparent mismatch between the data and the object ...

If you want to know what’s what in Big Data analytics today, you’ve got to know the basics of NoSQL databases, and how appropriate NoSQL databases facilitate Big Data analytics. What are the most ...

A database that maintains a set of separate, related files (tables), but combines data elements from the files for queries and reports when required. The concept was developed in 1970 by Edgar Codd, ...