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1. Analysis: Describing the information needs and determining the information system boundaries 2. Logical design: Getting answers to the three questions about entities, attributes, and constraints, which were presented in the previous section 3. Physical design: Translating the logical design into a real database structure 4. Build phase: Building database applications Within the development methods, you can use various techniques to support your activities. For example, you can use diagram techniques to represent data models graphically. Some well-known examples of such diagram techniques are Entity Relationship Modeling (ERM) and Unified Modeling Language (UML). In the last section of this chapter, which introduces the sample tables used throughout this book, you will see an ERM diagram that corresponds with those tables. Another example of a well-known technique is normalization, which allows you to remove redundancy from a database design by following some strict rules. Prototyping is also a quite popular technique. Using prototyping, you produce quick and dirty pieces of functionality to simulate parts of a system, with the intention of evoking reactions from the end users. This might result in time-savings during the analysis phase of the development process, and more important, better-quality results, thus increasing the probability of system acceptance at the end of the development process. Rapid application development (RAD) is also a well-known term associated with data modeling. Instead of the waterfall approach described earlier, you employ an iterative approach. Some methods and techniques are supported by corresponding computer programs, which are referred to as computer-aided systems engineering (CASE) tools. For example, Oracle offers complete and integral support for system development, from analysis to system generation, with the Oracle Designer software.

Hopefully the song doesn t get stuck in your head for the rest of the day! 1. R> 2. Right Arm In 3. Left Arm Down 4. Right Arm Down 5. SELECT Lean Backward 6. SELECT Lean Forward 7. SELECT Lean Backward 8. L> 9. SELECT Lean Forward 10. Left Arm Out 11. Right Arm Out 12. Left Arm In 13. Right Arm In 14. Left Arm Up 15. S> 16. Right Arm Up 17. SELECT Lean Backward 18. SELECT Lean Forward 19. SELECT Lean Backward 20. Right Arm Down

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If you want to use information systems correctly, you must be aware of the semantics (the meaning of things) of the underlying data model. A careful choice for table names and column names is a good starting point, followed by applying those names as consistently as possible. For example, the attribute address can have many different meanings: home address, work address, mailing address, and so on. The meaning of attributes that might lead to this type of confusion can be stored explicitly in an additional semantic explanation to the data model. Although such a semantic explanation is not part of the formal data model itself, you can store it in a data dictionary a term explained in the next section.

- (void) testNSDateImplementsIsBefore { NSDate *testDate = [NSDate date]; BOOL result = [testDate respondsToSelector:@selector(mp_isBefore:)];

In this section, the following terms were introduced: Entities and attributes Generic versus specific Occurrences and attribute values

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One convention to avoid category collisions in your code is to prefix your category names in the same vein that all Cocoa classes have a prefix convention of NS. mp_ is the designated convention for Magical Panda.

Base data and derivable data Redundancy and consistency Integrity and constraints Data modeling Methods and techniques Logical and physical design Normalization Prototyping and RAD CASE tools Semantics

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The preceding two sections defined the formal concept of an information system. You learned that if an organization decides to automate an information system, it typically uses some database technology. The term database can be defined as follows:

Just because Robosapien speaks international caveman speech and has only 12K of memory doesn t mean that it can t have a lot on its mind! 1. R> 2. Stop 3. SELECT SELECT Talk Back 4. SELECT SELECT Whistle 5. Stop 6. SELECT SELECT Talk Back 7. SELECT SELECT Burp 8. P 9. SELECT R> 14 times to fill up the master command program

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