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Data archiving refers to the process of offloading unneeded data from a primary data base storage medium (such as a fiber channel disk array) onto a relatively inexpensive storage medium (such as a magneto-optical disk loader), in which it is kept for a num ber of years. Archived data can also be moved from a database on a powerful produc tion server to a database on a separate and less-powerful server. Archived database data can be stored online, near-line, or offline. When archived data is stored online, it is stored on a lower-cost hard disk technology such as serial ATA (SATA) disks within a network attached storage (NAS) device. Data retrieval in this case is instantaneous. When you store archived data near-line, you store it on media accessed by an auto-loading device such as a tape library or magneto-optical disk library. In this case, the data is accessed normally by database applications after a long pause. When you store archived data offline, the data is stored in media such as mag netic tapes or CDs and is not directly connected to the network. Although offline data is not accessible by database applications, applications can be written to point to a stub whenever archived data is requested. The stub can then provide further instruc tions on how to access the needed data. In many cases, you implement data archives by means of a vendor solution consisting of hardware and/or software. Archive hardware consists of a storage medium on which to archive data, and archive software includes a means to move data to the archive. Alternatively, some vendor solutions consist of a data storage facility to which data is copied over the Internet.

> sc qtriggerinfo TabletInputService [SC] QueryServiceConfig2 SUCCESS SERVICE_NAME: TabletInputService

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There are many important reasons to archive database data, and doing so is often compulsory. These reasons include the following:

To comply with regulatory requirements Organizations affected by legal regulations such as HIPAA, Sarbanes-Oxley, the FDA s 21 Code of Federal Regulations (CFR) Part 11, and Basel II are often required to retain data such as accounting or medical records for a number of years. In such cases, the organization must design an archiving solution in a way that complies with these regulatory requirements.

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To improve query performance Database applications often achieve a significant improvement in performance after you implement an archiving solution because the more records stored in a database, the more data SQL Server must scan during queries. Keeping outdated data in a database therefore tends to reduce query performance unnecessarily. By removing outdated or obsolete data, you can thus generally improve the speed of queries.

To quicken administrative tasks For many organizations, data tends to proliferate greatly over time. This data pro liferation can make administrative tasks such as full backups, defragmentation procedures, and index rebuilds time-consuming. When you remove obsolete data from such a server, you reduce the amount of data stored in your primary storage location and improve the efficiency of these administrative procedures.

To manage resources efficiently High-speed data storage solutions can be costly, so it is important to reduce expenses by purchasing a solution that is no larger than necessary. You should store data that is current and/or frequently accessed in a high-performance disk array, and store data that is obsolete or rarely accessed in a lower-cost solution. Archiving data thus enables you to free up resources where needed for current data, to allocate financial resources wisely, and to manage your hardware resources efficiently.

Exam Tip If you see a question about archiving on the 70-443 exam, look for the background information you need in the case scenario within the Business Requirements General Require ments and Business Requirements Performance sections.

START SERVICE DEVICE INTERFACE ARRIVAL CLASS GUID] DATA DATA DATA DATA : 4d1e55b2-f16f-11cf-88cb-001111000030 [INTERFACE : : : : HID_DEVICE_UP:000D_U:0001 HID_DEVICE_UP:000D_U:0002 HID_DEVICE_UP:000D_U:0003 HID_DEVICE_UP:000D_U:0004

The process of designing a data archive policy generally consists of determining what to archive, how to store the archived data, and then how to move the data from pro duction to the archive.

Review regulatory requirements. Organizations need to determine which laws concerning data retention apply to them. To facilitate this process, organizations can seek guidance from legal con sultants, solution vendors, trade associations, and external auditors.

Review column values relevant for archiving. Some tables might include a column such as Completed or Success, whose value could suggest whether a particular row should be archived. For example, after a particular project is finished, an application might set the Completed column in a Projects table to 1. This value might suggest that you should move the associ ated data row to an archive server. (Also note that even if such columns do not yet exist within a given table, you can create them for the purpose of facilitating data archival.)

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