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Understanding the value of information systems and playing a viable role in the development of them can result in a highly successful personal career In today s organizations, development teams composed of employees and managers in all functional areas, users, systems development specialists, and a variety of technical support specialists are involved in systems development New or modified systems vary in scope and complexity Large flexible computer systems include not only the traditional mainframes but up to hundreds of small computers or workstations connected by networks to one another and to specialized server computers that manage databases, print jobs, house electronic mail, and so on Computer-aided software engineering (CASE) tools have improved systems and software development The new systems and components facilitate the location and generation of information crucial to the advancement of science, to the growth of industry, to the management of business, to the operation of the government, in fact, to the improvement of every aspect of our daily lives The development of systems containing sets of instructions (software) by which the computer machinery and equipment (hardware) is used for problem solving requires people who understand both the problem and the computer s capabilities These people are employed in the areas of systems development and programming In this chapter we will discuss jobs in systems development stressing, in particular, systems analysis, the best known of these jobs We will describe jobs in programming and related areas in 3 although programming is a vital part of systems development in the broader sense, it is an area that often has a separate manager and enough job opportunities and position descriptions to justify a chapter of its own Systems development is governed by demands from end users who must get results in a rapidly changing, highly competitive business environment In the past, systems development was similar to building a house A systems analyst assumed the role of architect, conferring with end users (home owners) about.

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While expensive to set up initially, SANs provide increased disk usage efficiency, simplify storage management and allocation, and when configured correctly, can provide exceptional I/O performance for SQL Server platforms. Furthermore, SAN cache capacity, often running into hundreds of gigabytes, is far superior to that found in most DAS systems. Depending on the vendor and model, SANs also offer superior disaster-recovery options. Examples of this include synchronously replicating LUN data to another SAN at a remote site and leveraging SQL Server s Virtual Device Interface (VDI) to enable near-instant database backup and restores by snapping locally mirrored LUNs. On the downside, SANs are often configured for disk usage efficiency at the expense of maximizing performance. When you configure a SQL Server storage system for maximum performance, data is spread across as many dedicated physical disks as possible, often resulting in each disk having a low utilization percentage. One of the major benefits of a SAN is sharing disks among many servers to maximize usage. These are conflicting goals and, unless well understood, often lead to poor SQL Server performance. As a result, some organizations dedicate an entire SAN to a single, mission-critical database, thereby obtaining the best performance, while also benefiting from the scale and disaster-recovery options of SAN solutions. Performance testing of SAN solutions needs to be conducted taking into account the impact from other connected servers, particularly if they re using LUNs sharing the same disks. As a result, performance testing in a SAN environment tends to be more complex compared to DAS. These issues will be explained in further detail in the next section. For now, suffice to say that the correct configuration of a SAN is crucial in delivering high storage performance to SQL Server.

In a manner similar to log shipping, servers in a database mirroring session use the transaction log to move transactions between a principal server and a mirror server. The main advantage of database mirroring is that the movement of transactions can be performed synchronously, guaranteeing that the mirror is an exact copy of the principal at any given moment. In contrast, a log shipping destination is typically at least 15 minutes behind the source (which can actually be an advantage in some situations, as we ll see shortly). Like log shipping, database mirroring needs to be set up on a database-by-database basis, therefore limiting its appeal for instances containing many critical databases. Unlike log shipping, however, it can optionally be configured with a witness instance to initiate automatic failover to the mirror server. Further, with the correct configuration, client connections can be automatically redirected to the mirror server on failure of the principal. A typical database mirroring session is illustrated in figure 11.2. Covered in detail later in the chapter, database mirroring also overcomes the shared storage limitation of clustering, therefore enabling mirroring partners to be located large distances from one another.

Figure 11.2 Figure A typical database mirroring topology in which the mirror database is receiving and applying transactions from the principal server over a high-speed network link

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