Microsoft released to manufacturing the latest version of its SQL Server database, SQL Server 2014, on March 18. SQL Server 2014 will be available to customers as of April 1. The newest version of SQL ...

No fooling: The next version of Microsoft's flagship database will be available on April 1. SQL Server 2014 hit its "release-to-manufacturing" milestone today, which typically falls several weeks ...

Microsoft's flagship database, along with several other goodies of interest to developers, are officially available. SQL Server 2014 and the SQL Server Backup to Microsoft Azure Tool both hit their ...

SQL Server 2014 hit its "release-to-manufacturing" milestone today, with Microsoft projecting an April 1 commercial release. The new relational database management system refines technologies ...

Microsoft republished Service Pack 1 for SQL Server 2014 on Thursday. The service pack originally got released last month, but Microsoft pulled it on that same month because of an installation problem ...

Are you ready to unlock the power of Microsoft SQL Server 2014? In this blog entry I will examine my 3 favorite new features that show how SQL Server 2014 provides high-performance OLTP, optimization ...

Just in case you missed the latest news from Microsoft, SQL Server 2014 has finally gone RTM (Released to Manufacturing). I’ve been telling you about the new features planned for this release since ...

As reported earlier today by my ZDNet colleague Mary Jo Foley, Microsoft SQL Server 2014 has been released to manufacturing, and will be generally available on April 1st. Quentin Clark, Corporate Vice ...

Russell Smith is a technology consultant and trainer specializing in management and security of Microsoft server and client technologies. He is a Microsoft Certified Systems Engineer with more than 15 ...

Microsoft has announced the launch of SQL Server 2014, Analytics Platform System and a preview of Azure Intelligent Systems Service as part of their products dedicated to handling big data.

Business leaders should measure AI success by customer value and business outcomes -- not time saved -- to unlock AI's full ... CIOs must balance AI adoption with controlled spending -- a feat ...