Different Types of Fact Tables

A way that company like John Lewis would use this kind of data is in stock reports for example if there are thirty-two watches in stock and the price is twenty-five pound for one then that would be seen as numbers. Some businesses like John Lewis use an automated system to calculate certain information because of this, they can gain useful and accurate information which produces advantage over other business. It is usually harder to argue against quantitative

Quantitative data is facts that are written in numerical form and then proven. The way Quantitative data is recorded is in numbers. An example of Quantitative data is 55%take bus, 25% take train, 10% walk and 10% car.

Identify the different types of entities, attributes, keys and relationships you will want to consider when designing the database.

- Tables are useful in showing relationships and making comparisons. They should have title, row, column headings, population, source and explanations.

Primary data is intended for personal/company use and is compiled by the user for a specific requirement.

The fact table is used to store the data every time when a form is submitted. Fact data typically has two types of column: those that contain facts and those that are foreign keys to lookup tables.

A Table is where you are organised and store data so you have to create the table before store any data. By creating table, you need to define few things, Fields name, Data type, and the Description.

When it comes to the data model, there exists a relationship that has three different representations for the reason that database requires the relationship between the tables. It goes hand-in-hand with one another without the relationship the tables would have no purpose. The information cannot be repetitive in order for the each table to work and provide the specific database that is related to the information. In different ways the tables in the Huffman Trucking Fleet Truck database

One of the main components of a database is characters. Characters are letters, numbers and punctuation marks. You are using characters when you are typing a sentence for example. Another main component would be fields. Fields separate data in defined fields. When data is being entered even if you don’t have an answer for all fields a space is still left but it would be blank. If you have ever seen an excel spreadsheet that would give you an idea of how data is lined out into different fields. Records are a main database component as well. Records are a group of fields that are about one thing. An example would be social security numbers in a database of patients. Each patient would have a social security number and each social security number is in a field. That field would have the same information which is that patients social security number even though every ones is different and there would be many listed depending on how many patients was in the database. Gartee, R. (2011).

A number is used to store a numeric value in a table that isn't a monetary value. Numbers can be used to perform calculations.

The data that is being stored in a database is known as Meta data. Meta data is also recognized as schema for the real world data. It expresses that what sort of data will be stored in the database, what will be size of a assured attribute of the real world data, how many and what qualities will be used to collect the data about the entity in the database.

Our tables can be widely classified into fact tables (measurements, e.g., impressions, clicks, conversions) and dimension tables (configuration, e.g., campaigns, lineitems, tactics). While processing data from fact tables, the requirement for related data from

This is information that is measured using numerical values and is very accurate as it is based on facts and is statistics. The information is presented as statistics and can be obtained from methods like questionnaires and surveys. Quantitative questions don’t allows the individual to give a subjective answer. NatWest this data to analyse for patterns and trends of their customers banking habits. This then allows them to make projects for the banks which would be influenced by the quantitative data they would have collected through a survey in there branches nationwide.

Example 1 – Consider the following relational database for the Super Baseball League. It keeps track of teams in the league, coaches and players on the teams, work experience of the coaches, bats belonging to each team, and which players have played on which teams. Note the following facts about this environment:

According to Rouse (2006), “Computer databases typically contain aggregations of data records or files, such as sales transactions, product catalogs and inventories, and customer profiles” (Rouse, 2006). Databases can hold a sufficient of information that are deemed