SQL Server Katmai, now officially announced as SQL Server 2008, introduces a significant amount of new and improved functionality, including enhanced data types and greater programming flexibility for database application developers.
Programming Microsoft SQL Server 2008
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For small batches of data, the performance difference on the client will usually be negligible, so choosing the simpler programming model may be your best choice. On the server side there will be no performance difference between the models.
When you can update an application to use table-valued parameters, it should gain the benefits of having cleaner, more maintainable code in both the client and server application tiers; faster performance, particularly when you use set-based operations on the server side by leveraging the power of the SQL query processor; and better scalability for large data volumes. In addition to enhancing the programming model, SQL Server 2008 introduces new intrinsic data types to better align with the precise needs of applications.
On the unstructured data side of the fence, SQL Server 2008 also enables applications to store unstructured data directly on the file system-outside of the database file-leveraging the rich streaming APIs and performance of the Windows file system. Though accessible through the file system, the data also remains compatible with the T-SQL programming model. Using this dual programming model-T-SQL and Win32-applications can maintain transactional consistency between unstructured data stored in the file system and structured data stored in the relational database.
In summary, SQL Server 2008 introduces a new programming construct, table-valued parameters, to more rationally model scenarios where applications are operating as tables of data. Table-valued parameters provide better performance and scalability than existing solutions, particularly when you can implement server-side logic with set-based operations. Along with this new programming construct, new intrinsic data types more efficiently handle date and time data and will help developers reduce custom code in applications by choosing a type that closely matches their needs. This comes with the benefit of aligning database storage costs to those same needs. For existing types, SQL Server 2008 removes two limitations: lifting the 8,000-byte size limit on CLR user-defined types and allowing you to store and access binary large object columns through the file system. Building on enhanced CLR type support, SQL Server 2008 also introduces two system types to provide out-of-the-box solutions for planar spatial and hierarchal data. This is far from an exhaustive list of new programming features, but it should start to get you thinking about how you can get the most out of SQL Server 2008.
You may have heard about MSDN forums, , as a tool for seeking and providing answers for technical problems, but did you know that in addition to MVPs, Microsoft development product teams participate in the forums? For SQL Server programming questions, check out these forums: .NET Development > .NET Framework Data Access and Storage, and SQL Server > SQL Server Data Access. SQL Server 2008 has versions of these forums under SQL Server Katmai for any questions you have using new functionality.
The SQL Server Machine Learning services operates within the SQL server instance, allowing people to do machine learning and data analytics without having to send data across the network or be limited by the memory of their own computers. The services come with Microsoft's R and Python distributions that contain commonly used packages for data science, along with some proprietary packages (e.g. revoscalepy, RevoScaleR, microsoftml) that can be used to create machine models at scale.
Originally introduced as a post-release add-on for SQL Server 2000,[53] Notification Services was bundled as part of the Microsoft SQL Server platform for the first and only time with SQL Server 2005.[54][55] SQL Server Notification Services is a mechanism for generating data-driven notifications, which are sent to Notification Services subscribers. A subscriber registers for a specific event or transaction (which is registered on the database server as a trigger); when the event occurs, Notification Services can use one of three methods to send a message to the subscriber informing about the occurrence of the event. These methods include SMTP, SOAP, or by writing to a file in the filesystem.[56] Notification Services was discontinued by Microsoft with the release of SQL Server 2008 in August 2008, and is no longer an officially supported component of the SQL Server database platform.
Microsoft Visual Studio includes native support for data programming with Microsoft SQL Server. It can be used to write and debug code to be executed by SQL CLR. It also includes a data designer that can be used to graphically create, view or edit database schemas. Queries can be created either visually or using code. SSMS 2008 onwards, provides intellisense for SQL queries as well.
The chapter about spatial data was written by Ed Katibah and Isaac Kunen. Ed and Isaac are with the SQL Server development team and led the efforts to implement spatial data support in SQL Server 2008. It is a great privilege to have this chapter written by the designers of the feature. Spatial data support is new to SQL Server 2008 and brings new data types, methods, and indices. This chapter is not intended as an exhaustive treatise on spatial data or as an encyclopedia of every spatial method that SQL Server now supports. Instead, this chapter will introduce core spatial concepts and provide the reader with key programming constructs necessary to successfully navigate this new feature to SQL Server.
Create and deliver data-rich reports across the enterprise using this complete server-based reporting solution. Written by a member of the original Reporting Services development team, Microsoft SQL Server 2008 Reporting Services covers the entire report-building and distribution process, including data extraction, integration with desktop and Web applications, and end-user access. The book explains how to maximize all of the powerful features, including the new Tablix data format, as well as enhanced performance, scalability, and visualization capabilities.
SQL Server 2016 also increased support for big data analytics and other advanced analytics applications through SQL Server R Services, which enables the DBMS to run analytics applications written in the open source R programming language, and PolyBase, a technology that lets SQL Server users access data stored in Hadoop clusters or Azure blob storage for analysis. Also, SQL Server 2016 was the first version of the DBMS to run exclusively on 64-bit servers based on x64 microprocessors. And it added the ability to run SQL Server in Docker containers, a virtualization technology that isolates applications from each other on a shared operating system.
Microsoft put SQL Server at the heart of its development platform, alongside the .NET programming runtime, and in fact combined the two, adding .NET stored procedures to SQL Server 2005. The Visual Studio IDE has special support for SQL Server, and Microsoft steered developers to use it by default in their client-server applications, using it in all their examples and building special programming support into .NET with LINQ (Language Integrated Query) to SQL in 2007. 2ff7e9595c
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