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Add You - Introduction to Dimensional Modeling for Data Warehousing Part 2, Dimensional Modeling Principles
How many times have you daydreamed about quitting and beginning something you are truly passionate about? Do you look at other people and envy how happy they seem when they talk about their work? Do you envy those in their twenties who have the “time” to change their direction? Do you wish you could do it all over again? Well, you can. Easier said than done right? Sure, deciding to change jobs and even careers involves a lot of un
The level of detail captured should be the lowest possible (atomic level). The lowest level of detail, includes the full scope of informational dimensions related to an event.
As soon as a higher level of detail is selected, by aggregating atomic data, certain event dimensions are lost.
Dimensional models aim to capture
Are you tired of all the work at home gimmicks? So was I. I was getting tired of doing the same routine everyday. I was really tired of having someone else raising my son for me. I missed out on alot things that I should have been there for. But I was not, because I had pulled a double shift that night or someone did not show up so I covered for them at the job. I was not happy with my life and the way things were going.<
The capture of overlapping information by different departments which can lead to many versions of truth, is avoided through the capture of a single data stream for an ‘end-to-end’ process. B. Determination of the level of detail at which the process shall be monitored (also called grain statement). The grain statement is the first step in a dimensional model design. Examples of grain statement are:· Each product sold (meaning: an entry shall be created in the fact table for each product sold)o Each new service contract (e.g. insurance contract) o The daily snapshot of the stock in a pharmacy
o The accumulated capture of all facts of a transaction which has been completed in more than one steps (e.g. the lifecycle of a tax transaction: tax statement submission – statement control – tax clearance – payment – final payment)
Based on the grain statement, one can derive the facts which should be stored in the fact table as well as the ‘surrounding’ dimensions.
The level of detail captured should be the lowest possible (atomic level). The lowest level of detail, includes the full scope of informational dimensions related to an event.
As soon as a higher level of detail is selected, by aggregating atomic data, certain event dimensions are lost.
Dimensional models aim to capture
The last time Inflation was above 4% interest rates were 11%, Terry Waite had just been released and it was the 17th of November 1991. In business terms many lifetimes ago. Whether the Bank of England will raise interest rates to 11% to achieve Gordon Brown’s mandate I will leave to the Money markets to speculate. It is unlikely that interest rates and hence the cost of capital will return the “lowest rates in 30 years” within the
The capture of overlapping information by different departments which can lead to many versions of truth, is avoided through the capture of a single data stream for an ‘end-to-end’ process. B. Determination of the level of detail at which the process shall be monitored (also called grain statement). The grain statement is the first step in a dimensional model design. Examples of grain statement are:· Each product sold (meaning: an entry shall be created in the fact table for each product sold)o Each new service contract (e.g. insurance contract) o The daily snapshot of the stock in a pharmacy
o The accumulated capture of all facts of a transaction which has been completed in more than one steps (e.g. the lifecycle of a tax transaction: tax statement submission – statement control – tax clearance – payment – final payment)
Based on the grain statement, one can derive the facts which should be stored in the fact table as well as the ‘surrounding’ dimensions.
The level of detail captured should be the lowest possible (atomic level). The lowest level of detail, includes the full scope of informational dimensions related to an event.
As soon as a higher level of detail is selected, by aggregating atomic data, certain event dimensions are lost.
Dimensional models aim to capture
Have you ever wondered why some people are so creative? Is it really a gift or can you learn how to be more creative? I believe you can and here are a few ways to “tune up” your senses and light a creative spark in your life.1. Listen. You have two ears and one mouth. Use in proportion.2. Touch. Pretend you are blind and learn about life in an entirely new way.
o The accumulated capture of all facts of a transaction which has been completed in more than one steps (e.g. the lifecycle of a tax transaction: tax statement submission – statement control – tax clearance – payment – final payment)
Based on the grain statement, one can derive the facts which should be stored in the fact table as well as the ‘surrounding’ dimensions.
The level of detail captured should be the lowest possible (atomic level). The lowest level of detail, includes the full scope of informational dimensions related to an event.
As soon as a higher level of detail is selected, by aggregating atomic data, certain event dimensions are lost.
Dimensional models aim to capture
Studies show that more than 50% of people are unhappy in their jobs yet few will actually make a career change in 2005. Why? Most people let fear stop them yet successful career changers know that fear is simply a sign that you are headed in the right direction!Follow the 5 key steps that successful career changers actually take to overcome their fears and make a sustainable change.1. Plug the Leaksh new service contract (e.g. insurance contract) o The daily snapshot of the stock in a pharmacy
o The accumulated capture of all facts of a transaction which has been completed in more than one steps (e.g. the lifecycle of a tax transaction: tax statement submission – statement control – tax clearance – payment – final payment)
Based on the grain statement, one can derive the facts which should be stored in the fact table as well as the ‘surrounding’ dimensions.
The level of detail captured should be the lowest possible (atomic level). The lowest level of detail, includes the full scope of informational dimensions related to an event.
As soon as a higher level of detail is selected, by aggregating atomic data, certain event dimensions are lost.
Dimensional models aim to capture
Franchisor who sell franchises must be very careful to make sure that the person inquiring about franchise offer is indeed from the state of residence that they declare on the franchise application forms. Other wise it is quite possible that you as a franchisor could be in violation of offering a franchise to a resident of a state in which you are not registered in.Often franchise prospects do not make it clear their state
The level of detail captured should be the lowest possible (atomic level). The lowest level of detail, includes the full scope of informational dimensions related to an event.
As soon as a higher level of detail is selected, by aggregating atomic data, certain event dimensions are lost.
Dimensional models aim to capture measurements, according to the way an Analyst views data:o Events that took place at a certain moment in time o Periodic measurements which provide a snapshot of the situation at a given moment in time
o Complete view of a transaction which had more than one steps (did not start and complete at a single event)
C. Selection of the dimensions which form the event framework, within which the measurements were made. Common examples of dimensions are: date (or time) at which the event took place, Customer, product, branch office. The concrete definition of the level of grain facilitates the selection of dimensions. The lower the level of detail, the richer the set of dimensions which accompany the facts. D. Preliminary determination of the analysis methods to be implemented. Selection of the key performance indicators (KPI) for each monitored business process. Identification of the facts needed in order to derive these indicators. Given that conditions change, additional facts may be selected to be captured. These facts should relate to the same level of detail.
The dimensional model should be flexible enough, in order to allow its future enrichment with new facts in the fact table and new dimensional attributes. Copyright 2006 –– Κostis Panayotakis
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