rdlc data matrix

rdlc data matrix

rdlc data matrix

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he ISO 9000 standards have been practiced worldwide for about 15 years. Based on common standards of performance, they were created to harmonize trade among countries. The standards included the best practices commonly used in successful organizations. The standards were released in 1987 and first revised in 1994. The main purpose of the 1994 revisions was to the clarify requirements. The second revision, the ISO 9001:2000 standards (released at the end of 2000), incorporates more comprehensive changes based on the experience gained through worldwide implementation. The intent of the ISO 9000 standards has stayed the same since their inception to promote quality thinking and utilize best practices throughout organizations. They enable a business to implement effective business processes so it can provide products or services that meet customer-specified requirements. The quality thinking requires that each process be managed such that it performs as well as needed to meet customer requirements. To know how well a process is performing, the business must verify its performance at appropriate points throughout operations. Then if a product or service does not

Usually, normalization starts with any rendering of data that is (or will be) presented to a user, such as web pages, application screens, reports, and so forth. Collectively, these are called user views. It may seem odd at rst, but it is common practice in the design of computer systems to start with the output that the user will see and work backward from there to gure how to produce the desired output.

meet the customer requirements, it can investigate causes of nonconformity and initiate appropriate corrective action. To implement such an accountability system consistently worldwide, the International Organization of Standardization (ISO) released the standards through its national bodies of member countries. The registration architecture is shown in Figure 13-1. As the diagram indicates, several organizations play roles in ensuring effective implementation of the standards. Challenges are experienced at every level with the most significant one being the auditor level. The auditor must ensure that the requirements of the standards were implemented effectively and complied with consistently. Given that assessment of compliance is easier than assessment of effectiveness, auditors often focus on compliance more heavily than on effectiveness.

During database design, the normalization process is applied to each user view, with the outcome being a set of normalized relations that can be directly implemented as relational database tables The process itself is relatively straightforward, and the rules are not very dif cult However, normalization takes time and repetition to master, particularly because it challenges the designers into thinking conceptually about the data and relationships they intend to use As you normalize, consider each user view as a relation In other words, conceptualize each view as if it is already implemented as a two-dimensional table, and it takes practice to do so It also takes time to become comfortable with the terminology used in the normalization process During normalization, most designers avoid the use of physical terms such as table, column, and primary key.

While the relation being normalized is a proposed table, it does not yet physically exist as a table, so the physical terms are not quite accurate We use the term relation instead of table, attribute instead of column, and unique identi er instead of primary key For newcomers to normalization, it s only natural to use the more familiar physical terms, but do be aware of the preferred terminology if you seek out additional information or examples from other sources While object names in most DBMSs are not case sensitive, I have shown all table and column names in uppercase for consistency However, I have shown relation and attribute names in mixed case because that is the custom in the industry The normalization process is applied systematically to each user view.

FIGURE 13-1.