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Distributed Database - Essay Example

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Summary
Given that the ActiveWear Traders Clothing Australia has a Headquarters in Brisbane (BRISHQ), and warehouses in both Brisbane (BRISWH) and Melbourne (MELWH) with more than 60 retail stores across the country.
Create the processes that extract data from source systems; cleanse, transform, and match data according to specified business rules; import data into the data warehouse structure; use query, reporting, and mining tools to access the data and address key business questions
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Best customers are those who subscribe to 7day, 52week, EZPay {automatic payment from credit card} subscriptions. 2. Existance in the marketplace and we have touched them. By building "complete" universe of households with extended demographics, and by attaching "touch" or contact histories to individuals, can determine what is working on what types of customers (and what isn't working). We need to build touch history over time. Value increase as more history is accumulated. 3. We build a loyalty model based on a subscriber's payment history.

Loyalty can be defined as overall duration as subscriber, number of consecutive payments (with unbroken service), etc. We can then create a profile of a "loyal" subscriber and more effectively identify likely churners vs. likely loyal subscribers. This is a very important step in the data warehousing project, as the foundation of the data warehousing system is the data model. A good data model will allow the data warehousing system to grow easily, as well as allowing for good performance. In data warehousing project, the logical data model is built based on user requirements, and then it is translated into the physical data model.

This project uses Dimensional modeling, which is the name of the logical design technique often used for data warehouses. It is different from entity-relationship modeling. Entity relationship modeling is a logical design technique that seeks to eliminate data redundancy while Dimensional modeling seeks to present data in a standard framework that is intuitive and allows for high-performance access. Every dimensional model is composed of one table with a multi part key, called the fact table, and a set of smaller tables called dimensional tables.

Each dimension table has a single part primary key that corresponds exactly to one of the components of the multi part key in the fact table. This characteristic star like structure is often called a star join. A fact table, because it has a multi part key made up of two or more foreign keys always expresses a many-to-many relationship. The

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