Sharepoint and Filestream
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SQL Server 2012 enhanced the SQL Server 2008 FileStream data type by introducing FileTable, which lets an application integrate its storage and data management components to allow non-transactional access, and provide integrated SQL Server services. Arshad Ali explains how.
This white paper is a companion to the information about FILESTREAM found on TechNet. This paper delves deeply into selected topics that should be considered when implementing a solution that uses FILESTREAM, including design considerations, maintenance, and management of a FILESTREAM environment.
In SQL Server 2008 one can store BLOBs (e.g. Images, video, Word, Excel, PDF, MP3, etc) in the NTFS file system rather than in a database file. This can be done by using the new FILESTREAM feature which was introduced in SQL Server 2008. In this tip we will take a look at some of the best practices which a database administrator can follow to get the best performance when using the FILESTREAM feature of SQL Server 2008.
A new article that shows a brief example of the FILESTREAM feature in SQL Server 2008 from new author Hugh Thomas. It looks at creating objects for testing, and importing a sample image.
Filestream allows us to store and manage unstructured data in SQL Server more easily. Initially, the accounts of FILESTREAM assumed prodigious powers of concentration and cognition, and we mortals all recoiled numbly. However, it became clear that we were missing out on some extraordinarily useful functionality, so we asked Jacob Sebastian to come up with a simple and clear-cut account of the FILESTREAM feature in SQL Server 2008. You'll agree he has managed the feat superbly.
This white paper describes the FILESTREAM feature of SQL Server 2008, which allows storage of and efficient access to BLOB data using a combination of SQL Server 2008 and the NTFS file system. It covers choices for BLOB storage, configuring Windows and SQL Server for using FILESTREAM data, considerations for combining FILESTREAM with other features, and implementation details such as partitioning and performance.
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