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Availability Ensuring a database is available when required is a fundamental DBA responsibility, and in this regard, SQL Server 2008 includes a number of high-availability solutions, including failover clustering, database mirroring, and transaction log shipping, each of which we ll cover in this book. We ll also examine the importance of service level agreements in a high-availability plan, and learn how to design redundancy into server components. Reliability Unexpected performance and corruption problems not only disappoint users, but they also lead to long, chaotic, and reactive working days for a DBA. Throughout this book, we ll cover a number of proactive maintenance and design practices, such as using the SQLIOSIM utility to validate a storage system, and using Database Console Commands (DBCC) to validate the integrity of a database. Recoverability Of course, should disaster strike, a DBA needs to spring into action with a plan of attack for restoring a database as quickly as possible, and in chapter 10, we ll cover this process in detail. Ensuring databases are secure, available, reliable, and recoverable are core DBA responsibilities. In subsequent chapters, we ll drill down into each of these responsibilities in more detail, beginning with the next chapter, in which we focus on the important topic of sizing a storage system. asp.net pdf viewer annotation Review and print PDF with ASP . NET Web Forms PDF Viewer ...
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Please suggest are there any auto PDF annotation tool available for this ... /code- library/silverlight/ pdfviewer /select-text-and- annotate -pdf. aspx . Performance tuning SQL Server applications involves finding and addressing performance bottlenecks. While there will always be a bottleneck somewhere, the goal is to reduce the bottlenecks until application performance meets or exceeds the usage requirements, typically defined in a service level agreement (SLA). Although it s undeniable that the largest performance gains usually come from good application design, inadequate hardware makes resolving performance problems much more difficult. Poorly designed storage systems account for arguably the largest percentage of hardware-based performance problems for SQL Server solutions, and fixing them is usually more complicated than a simple memory or CPU upgrade. It follows that a well-designed storage system removes the biggest hardware-based performance obstacle, and that storage design should therefore lead the way in sizing servers for use in SQL Server environments. asp.net pdf viewer annotation Browser based pdf viewer with annotations and collaborations ...
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NET , WPF, WEB | PDF MRC Compression Library. ... Reader , Writer and Editor of PDF documents for . NET , WPF and .... Create and edit PDF annotations of PDF document .... The SDK comes with demo applications for WinForms, WPF, ASP . This chapter begins by covering the various I/O loads generated by the two major categories of database applications: online transaction processing (OLTP) and online analytical processing (OLAP). We ll look at the importance of striping data across multiple disks, the use of RAID technology to provide resilience against disk failure, and formulas for estimating the required number of disks to support the expected application load. We conclude this chapter with a look at the various types of storage systems, including direct-attached storage (DAS) and Fibre/iSCSI storage area networks (SANs), and explore some of the challenges of using SANs with SQL Server. Finally, we cover the emergence of solid-state disks (SSDs) and the significant ramifications this technology will have on server sizing and performance tuning. American Association of Motor Vehicle Administrators 4301 Wilson Boulevard, Suite 400 Arlington, VA 22203 wwwaamvaorg To determine an application s ideal storage system and disk quantity, it s important to understand the type and volume of I/O the application will generate. This section focuses on the different types of I/O, the metrics used to classify workload, and methods used in measuring and estimating values for the I/O metrics. In section 2.2, we ll take the information we ve learned here and use it to derive the number of disks required to support an application s I/O workload. When classifying the nature of I/O, two main terms are used: OLTP and OLAP. An example of an OLTP database is one that stores data for a point-of-sales application, typically consisting of a high percentage of simple, short transactions from a large number of users. Such transactions generate what s referred to as random I/O, where the physical disks spend a significant percentage of time seeking data from various parts of the disk for read and/or write purposes. In contrast, as shown in figure 2.1, an OLAP, or decision support system (DSS), database is one that stores data for reporting applications that usually have a smaller number of users generating much larger queries. Such queries typically result in sequential I/O, where the physical disks spend most of their time scanning a range of data clustered together in the same part of the disk. Unlike OLTP databases, OLAP databases typically have a much higher percentage of read activity. OLTP (online transac on processing) e.g.: point-of-sales system Random I/O dominant Read/write intensive Key metrics: IOPS, disk latency, transac ons/sec Frequent & small transac ons Council on Social Work Education 1725 Duke Street, Suite 500 Alexandria, VA 22314 wwwcsweorg National Association of Social Workers 750 First Street NE, Suite 700 Washington, DC 20002 wwwnaswdcorg Social Work Access Network (SWAN) wwwscedu/swan OLAP (online analy cal processing) asp.net pdf viewer annotation ASP . NET component that allows online Annotation of PDF files ...
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