SQL SERVER – Microsoft Releases for December 2014

Earlier this month, Microsoft has released quite a few SQL Server related tools, add-ons, and upgrades. I have listed a few of them here for a quick reference. The descriptions are of each downloads are from Microsoft download pages.

Microsoft Azure, Cloud and Enterprise Symbol / Icon Set for Visio, PowerPoint, PNG
This package contains a set of symbols/icons to visually represent features of and systems that use Microsoft Cloud and Enterprise products (Microsoft Azure, Windows Server, SQL Server) and related technologies. The symbols are in Microsoft Visio Stencil and Portable Network Graphics (PNG) formats. Instructions on using the PNG symbols in PowerPoint are provided.

Running Critical Application Workloads on Microsoft Azure Virtual Machines
This paper describes critical performance improvements we developed while working with four organizations on their critical application workloads running on Microsoft Azure virtual machines.

Microsoft Power BI Analysis Services Connector
The Microsoft Power BI Analysis Services Connector enables Power BI to connect to on-premises SQL Server Analysis Services instances.

System Center Management Pack for SQL Server 2014
The System Center Management Pack for SQL Server 2014 enables the discovery and monitoring of SQL Server 2014 Database Engines, Databases, SQL Server Agents and other related components.

Microsoft JDBC Drivers 4.1 and 4.0 for SQL Server
Download the Microsoft JDBC Driver 4.1or 4.0 for SQL Server, a Type 4 JDBC driver that provides database connectivity through the standard JDBC application program interfaces (APIs) available in Java Platform, Enterprise Edition 5,6 and 7.

Microsoft Drivers for PHP for SQL Server
The Microsoft Drivers 3.1, 3.0, and 2.0 for PHP for SQL Server provide connectivity to Microsoft SQL Server from PHP applications.

Microsoft SQL Server Migration Assistant v6.0 for DB2
Microsoft SQL Server Migration Assistant (SSMA) for DB2 is a tool to automate migration from DB2 databases to SQL Server and Azure SQL DB.

Reference: Pinal Dave (https://blog.sqlauthority.com)

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