With the information available in our model we can analyze what is the busiest time of clients, allowing us to adjust the personnel needed for different times.
Scheme star From the scheme entity relationship previous46, we will build the scheme star 47 that allows us to analyze information so that we can answer the above raised questions about selling tickets.
For the construction of the star scheme must distinguish between tables hechos48 what we want to measure or analyze and the http://ttlink.com/dwightgeorge dimension tables how we want to measure, in our case, the fact table is that of the tickets and we analyze the following dimensions: queue management time, time zone, center, employee and payment.
The Scheme star would be: If you look carefully, we see that in the table of tickets have made in our case, the Total ticket and https://www.bookmarkee.com/brettreyes identifiers of the dimensions for which we want to analyze: date, time, id employee id center payment id. The ticket number and the ID box, no need for analysis of table dimensions.
Two dimensions we call degenerate also appear. Dimension tables allow queue management us to group events based on the values http://www.plurk.com/derekwolfe of the dimension: for example, if we know the total ticket sales from an area in the dimension table center.
We have the attribute description area which allows group the tickets according to this criterion. End week. This decomposition http://www.folkd.com/detail/queuemanagementbusiness.hatenablog.com allows us to analyze if we sell the same thing every day of the week or not, or if outsells early final month.
Compare between different months, quarters or years. We also added the attribute: Vacation that will tell us if the day is a holiday, http://www.folkd.com/detail/queuemanagementbusiness.hatenablog.com%2Fentry%2F2014%2F10%2F16%2F144642 and the attribute Week End to differentiate sales during the week and week of fin.
This information should add, since it is not available in the information system of selling tickets. Center dimension: This dimension http://sfcsf.org/tech/queue-management-system/ we can analyze what is the amount of tickets sales center, centers of population or of a province, and even sort by zip code. The size will also allow us to analyze the amount of selling tickets based on the square footage of the centers.
In the center we have added dimension zone description which indicates which zone is assigned to the center and allow us to analyze http://www.gvbookmarks.com/story.php?title=queue-management the differences between the different zones. When we combine different schemes star have different fact tables.
But they share the dimensions, facts talk about constellations even speak schema galaxy. Scheme queue management http://slashdot.org/submission/3916619/queue-management Snowflake Schema star is not fully standardized.
As in the dimension table have a redundancy center is Description area means an area as centers exist in the same will be repeated http://slashdot.org/submission/3916651/queue-management-system many times. The scheme snowflake or solves this problem. The scheme snowflake supermarket example is as follows.
As shown in the diagram snowflake shows relationships between dimension tables, while the queue management scheme star only https://www.zotero.org/sonyapadilla/items/itemKey/PS52R5SE relationship between the fact table and dimensions.
Scheme star From the scheme entity relationship previous46, we will build the scheme star 47 that allows us to analyze information so that we can answer the above raised questions about selling tickets.
For the construction of the star scheme must distinguish between tables hechos48 what we want to measure or analyze and the http://ttlink.com/dwightgeorge dimension tables how we want to measure, in our case, the fact table is that of the tickets and we analyze the following dimensions: queue management time, time zone, center, employee and payment.
The Scheme star would be: If you look carefully, we see that in the table of tickets have made in our case, the Total ticket and https://www.bookmarkee.com/brettreyes identifiers of the dimensions for which we want to analyze: date, time, id employee id center payment id. The ticket number and the ID box, no need for analysis of table dimensions.
Two dimensions we call degenerate also appear. Dimension tables allow queue management us to group events based on the values http://www.plurk.com/derekwolfe of the dimension: for example, if we know the total ticket sales from an area in the dimension table center.
We have the attribute description area which allows group the tickets according to this criterion. End week. This decomposition http://www.folkd.com/detail/queuemanagementbusiness.hatenablog.com allows us to analyze if we sell the same thing every day of the week or not, or if outsells early final month.
Compare between different months, quarters or years. We also added the attribute: Vacation that will tell us if the day is a holiday, http://www.folkd.com/detail/queuemanagementbusiness.hatenablog.com%2Fentry%2F2014%2F10%2F16%2F144642 and the attribute Week End to differentiate sales during the week and week of fin.
This information should add, since it is not available in the information system of selling tickets. Center dimension: This dimension http://sfcsf.org/tech/queue-management-system/ we can analyze what is the amount of tickets sales center, centers of population or of a province, and even sort by zip code. The size will also allow us to analyze the amount of selling tickets based on the square footage of the centers.
In the center we have added dimension zone description which indicates which zone is assigned to the center and allow us to analyze http://www.gvbookmarks.com/story.php?title=queue-management the differences between the different zones. When we combine different schemes star have different fact tables.
But they share the dimensions, facts talk about constellations even speak schema galaxy. Scheme queue management http://slashdot.org/submission/3916619/queue-management Snowflake Schema star is not fully standardized.
As in the dimension table have a redundancy center is Description area means an area as centers exist in the same will be repeated http://slashdot.org/submission/3916651/queue-management-system many times. The scheme snowflake or solves this problem. The scheme snowflake supermarket example is as follows.
As shown in the diagram snowflake shows relationships between dimension tables, while the queue management scheme star only https://www.zotero.org/sonyapadilla/items/itemKey/PS52R5SE relationship between the fact table and dimensions.
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