Agile Database Techniques: Effective Strategies for the by Scott W. Ambler

By Scott W. Ambler

* Describes Agile Modeling pushed layout (AMDD) and Test-Driven layout (TDD) methods, database refactoring, database encapsulation techniques, and instruments that aid evolutionary ideas* Agile software program builders frequently use item and relational database (RDB) expertise jointly and accordingly needs to conquer the impedance mismatch* the writer covers ideas for mapping gadgets to RDBs and for imposing concurrency keep an eye on, referential integrity, shared enterprise good judgment, defense entry keep an eye on, studies, and XML* An agile origin describes basic talents that each one agile software program builders require, really Agile DBAs* contains item modeling, UML information modeling, facts normalization, classification normalization, and the way to accommodate legacy databases* Scott W. Ambler is writer of Agile Modeling (0471202827), a contributing editor with software program improvement (, and a featured speaker at software program meetings world wide

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Extra resources for Agile Database Techniques: Effective Strategies for the Agile Software Developer (Wiley Application Development)

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Activity Diagrams UML activity diagrams are the object-oriented equivalent of flowcharts and data-flow diagrams (DFDs) from the structured development model (Gane and Sarson 1979). x they are full-fledged artifacts. 4 depicts a UML activity diagram, showing the logic of how someone logs on to the system and creates an order. The filled circle represents the starting point of the activity diagram, effectively a placeholder, and the filled circle with a border represents the ending point. The rounded rectangles represent processes or activities that are performed.

3 examines the relationship between customers and addresses in detail. net. 3: A simple object-role model. Tip Expanding your modeling skills enables you to reduce documentation. My experience is that people will capture information in the best place that they know. As a result, I typically discard ORMs after I’m finished with them. I sometimes use ORMs to explore the domain with project stakeholders but later replace them with a more traditional artifact such as an LDM, a class diagram, or even a PDM.

Chapter 3: Data Modeling 101 Overview Software development is a lot like swimming; it is very dangerous to do it alone. My personal philosophy is that every IT professional should have a basic understanding of data modeling. They don’t need to be experts at data modeling, but they should be prepared to be involved in the creation of such a model, be able to read an existing data model, understand when and when not to create a data model, and appreciate fundamental data design techniques. At the same time, data modeling skills alone are not enough to be successful in this day and age — as I argued in Chapter 1, you need to be a generalizing specialist with a wide range of skills.

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