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For example, equipment types include notebook, printer, monitor, keyboard, mouse, scanner, and network hub Properties Each asset in the database can be described with a set of attributes listed in the Properties table This table also records a unit used to store the value of the property For example, the properties (and units) of a monitor are size (inch), resolution (pixel), type (n/a), while an external hard disk has properties (and units) such as capacity (GB), size (inch), and adapter (n/a) InventoryProperty Each Asset in the Inventory table has a set of properties The InventoryProperty table stores the values of each property (except for make and model, which are recorded in the Equipment table) For example, a Toshiba (Make) Prot g 7020 (Model) notebook (EqType) assigned to an employee has 64 (value) MB (unit) of RAM (property) and 4.

3 (value) GB (unit) of HDD capacity (property) and a Pentium II 333 (value) processor (property), and so on Another employee is using an upgraded version of the same equipment with 128 (value) MB (unit) of RAM (property) and 64 (value) GB (unit) of HDD capacity (property) and a Pentium II 366 (value) processor (property), and so on..

The DTD is not the only type of document that can store rules for an XML document. At the current time, several companies (including Microsoft) have submitted a

1:

This set of tables keeps track of the location in which an asset is deployed and the person and organizational unit to which the asset is assigned:

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Manage a list of locations within an organization Manage a list of persons working within an organization Retrieve contact information about persons to whom assets are assigned Generate reports about assets deployed by province and organizational unit Retrieve a list of assets assigned to a particular person Manage relationships between organizational units Assign person(s) to organizational units

Location The Location table stores information about the physical location of the deployed asset. Each location has a name and an address as attributes.

TIP: BINARY_CHECKSUM is a much-needed tool for Data Warehousing projects. It allows DBAs to detect and handle the problem of slowly changing dimensions type 2 and 3.

Functions for Handling NULL Value SQL Server is equipped with a set of three functions to help ease the pain of using NULLs in your database system:

proposal to W3C for an alternative type of metadata document called the XML Schema. In fact, there are other proposed standards for the same use, which are all referred to as XML schemas. In May of 2001, W3C published its XML Schema Recommendation, which should gradually replace all other XML schemas. However, some of these schemas (such as the one defined by Microsoft) are already in use. XML schemas are XML language for defining the business rules with which a class of XML documents (data) must comply in order to be valid. These are the major differences between a DTD and an XML schema: XML schemas support data types and range constraints. XML schemas allow users to define new data types. The language in which XML schemas are written is XML. Developers do not have to learn an additional language as they do with DTDs. XML schemas support namespaces (XML entities for defining context). Why are XML schemas important A huge portion of application development resources is spent on checking whether data complies with (business) rules about structure and content. If you have a simple language to define the structure and content of data (that is, the business rules by which it is constrained) and you have a schema validator (a tool or program that can check compliance), you will be able to reduce development resource requirements significantly, and therefore reduce the cost to implement applications.

Figure 1-1.

NULLIF(expression, expression) ISNULL(check_expression, replacement_value) COALESCE(expression [,...n])

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