Professional SQL Server 2012 Internals and Troubleshooting by Christian Bolton, Justin Langford, Glenn Berry, Gavin Payne,

By Christian Bolton, Justin Langford, Glenn Berry, Gavin Payne, Amit Banerjee, Rob Farley

Hands-on troubleshooting equipment at the newest liberate of SQL Server

The 2012 unencumber of SQL Server is the main major one because 2005 and introduces an abundance of recent positive factors. This serious e-book presents in-depth assurance of top practices for troubleshooting functionality difficulties in response to a great figuring out of either SQL Server and home windows internals and exhibits skilled DBAs find out how to make sure trustworthy functionality. The workforce of authors indicates you ways to grasp using particular troubleshooting instruments and the way to interpret their output so that you can fast determine and unravel any functionality factor on any server operating SQL Server.
• Covers the center technical subject matters required to appreciate how SQL Server and home windows might be operating
• stocks top practices so you know the way to proactively visual display unit and keep away from difficulties
• indicates the way to use instruments to quick assemble, research, and successfully reply to the resource of a system-wide functionality issue

Professional SQL Server 2012 Internals and Troubleshooting enables you to fast get to grips with the alterations of this generation for you to top deal with database functionality and troubleshooting.

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Professional SQL Server 2012 Internals and Troubleshooting

Hands-on troubleshooting tools at the latest liberate of SQL Server

The 2012 free up of SQL Server is the main major one on account that 2005 and introduces an abundance of latest positive aspects. This serious ebook offers in-depth assurance of most sensible practices for troubleshooting functionality difficulties according to an effective knowing of either SQL Server and home windows internals and exhibits skilled DBAs find out how to make certain trustworthy functionality. The group of authors exhibits you the way to grasp using particular troubleshooting instruments and the way to interpret their output so that you can fast determine and get to the bottom of any functionality factor on any server operating SQL Server.
• Covers the center technical themes required to appreciate how SQL Server and home windows could be operating
• stocks top practices so you understand how to proactively display screen and stay away from difficulties
• exhibits how one can use instruments to speedy assemble, study, and successfully reply to the resource of a system-wide functionality issue

Professional SQL Server 2012 Internals and Troubleshooting permits you to fast get to grips with the adjustments of this generation so you might most sensible deal with database functionality and troubleshooting.

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Based on our observations, we conclude that emerging soft computing methods can provide us with alternative solutions over classical schemes to challenging motor fault diagnosis problems. Nevertheless, they are not supposed to compete with conventional methods. Instead, more accurate and robust diagnosis approaches should be developed based on the fusion of these two categories of methodologies, soft computing and hard computing [40]. References 1. Leonhard W. (1996), Control of Electrical Drives, Springer-Verlag, Berlin, Germany.

1996), Control of Electrical Drives, Springer-Verlag, Berlin, Germany. 2. Y. (1997), Motor fault detection and diagnosis, IEEE Industrial Electronics Newsletter, 44, no. 4, pp. 4-7. 3. J. (1996), Signal Processing for Industrial Diagnostics, John Wiley & Sons, West Sussex, UK. 4. A. (1994), Fuzzy logic, neural networks, and soft computing, Communications of the ACM, 37, no. 3, pp. 77-84. 5. A. A. 6. Y. (1997), Methodologies of Using Neural Network and Fuzzy Logic Technologiesfor Motor Incipient Fault Detection, World Scientific Publishing Co.

A. (1994), Fuzzy logic, neural networks, and soft computing, Communications of the ACM, 37, no. 3, pp. 77-84. 5. A. A. 6. Y. (1997), Methodologies of Using Neural Network and Fuzzy Logic Technologiesfor Motor Incipient Fault Detection, World Scientific Publishing Co. Pte. Ltd, Singapore. 7. Vas P. A. 8. , and Vas P. (2000), Recent developments of induction motor drives fault diagnosis using AI techniques, IEEE Transactions on Industrial Electronics, 47, no. 5, pp. 994-1004. 9. Special Section on Motor Fault Detection and Diagnosis (2000), IEEE Transactions on Industrial Electronics, 47, no.

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