Database admins strive to ensure that large chunks of data are both accessible and stored with integrity. By using these programming languages, they can keep systems optimized. As data volumes ...

SQL history. Before there was SQL, databases had tight, navigational programming interfaces, and typically were designed around a network schema called the CODASYL data model. CODASYL (Committee ...

These books cover everything from beginner SQL queries to advanced database architecture.Perfect for developers, data ...

SQL, the structured query language, is a programming language for communicating with databases. Variations on SQL are used by some of the most popular database tools in the world, including some ...

Developers often dispute the merits of SQL as a legitimate programming language, ... Many of these elements depend on the database platform (SQL Server, Oracle, Sybase, Informix, DB/2, ...

It's not so much a black and white, SQL vs. NoSQL situation, of course: TokBox still kept SQL databases around. That's where his team fed portions of Hadoop output for analysts to query more easily.

Thus, SQL drove the adoption of relational databases to near ubiquity. However, we’ve started to hit the limitations of what relational systems can do. Data no longer follows a uniform structure.

That’s why Fermyon is integrating a SQL database backend service with a NoOps approach intended to require little or no manual intervention for a developer to use it.

The third section of the book uses a sample application to give you insight into data access with C#. Thomsen provides an appendix with further information on the use of XML with SQL Server 2000.