Database System Cost And Its File Size Essay

Data is a group of information that are used for various purposes like analysis, evaluations and to arrive at certain results or conclusions. Data reporting is a process where data is extracted form a source or many sources and then converted into a format that can be used for a purpose.

Data is facts and numbers that hasn’t been modified or analysed for example times and numbers. When data is by itself it has no meaning to it however information by itself does have a meaning.

Data is defined as useful raw material which is intended to be useful for both the originator and for the intended receiver. Data consists largely of facts and figures ideal for communicating the intended meaning. This data can be interpreted and can be categorised as follows;

Data consists of the descriptions that can be used to summarize the raw facts of everyday happenings and objects. These raw facts can be anything from customer count to average sale per ring. PayPal co-founder Max Levchin said once said that “The world is now awash in data and we can see consumers in a lot clearer ways.” To a business owner like Max, data is important because it provides the means to make better decisions for the customer.

1. Processing is changing or manipulating raw data within an IS to produce information (Sousa, 2015).

Data is the form of input, which can be produced into information. For example, 5000 could be the value of a piece of data that a business has. By adding context to this, for example if an organisation sold 1000 sandwiches in a week; this becomes information, which will influence important decisions

Processing operations are preformed by the CPU in order to process data so that it becomes information. Two examples of processing would be the editing of images and the addition of sounds.

Data mining is essentially the ability to discover new information by exploring through various databases of existing information. According to Laura and Jack Cook, data mining "facilitates the discovery of previously unknown relationships among the data. …These operations present results that users already intuitively knew existed in the database."[2] As an example, let us take a school system consisting of three databases: one which stores the student profiles consisting of name and identification number, another to store student grades based on identification number, and the last one stores all the transactions at the bookstore through the student identification card. This is a simple example, but it should illustrate our point. Alone, the separate databases might not tell us much. With data mining techniques, the process might be able to tell us that in a particular school year, students of a certain ethnic background obtained above a 3.0 GPA, or that the bookstore sold mostly engineering books to students last year, or even that students who obtained above a 3.0 GPA were ones who bought engineering books. More specifically, the technology might be smart enough to associate that John Doe from Ireland had a 3.32 GPA in his engineering classes, even though he did not buy any engineering books from the bookstore. This type of technology is very powerful source of

Data analysis is a procedure of inspecting, cleaning, transforming, and modelling data with the goal of highlighting useful information, suggesting conclusions, and supporting decision making. There are multiple facts and approaches, encompassing diverse techniques under a variety of names, in different business, science, and social science domains in data analysis. For data analysis we have to mine the data first for our purpose such that the data we can handle easily. Basically for data analysis our first thing to do our planning, how we are going to collect the data, our going data going to make sense or not, actually data will be meaningful for our object, after

1) Many small business owners have found it financially advantageous to purchase their own building. As one owner remarked upon his retirement, “We did well with the business, but we made our real money by buying the building.” Explain why this might be so.

Data comprises of factual information. Data are the facts from which information is derived. Data is not necessarily informative on its own but needs to be structured, interpreted, analysed and contextualised. Once data undergoes this process, it transforms in to information. Information should be accessible and understood by the reader without needing to be interpreted or manipulated in any way.

I have always been interested in data, but the thought of processing data intimidates me. I think it scares me because there is a lot of data out there and I wouldn’t know what to do with all of the data. I feel like I would spend more time organizing the data, than I would actually processing into something useful. Then I learned in this week’s lecture that I should not be as intimidated as I am because it’d just data and much of the data collected without a strategy is useless. Too much data is not a good thing because it slows down the whole operations. Company should conduct a strategy first and figure out what they want the data to tell them before conducting any form of research. Once you have the key metric is completed, you can start

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:

Personal privacy today is a controversial and complex topic, which is influenced by a number of factors. There is an integral role that databases play in this highly debated topic. The fact that many people now carry out their transactions electronically is another important factor. There is also pressure on personal privacy for increased national security around the world to combat terrorism. In addition, personal privacy is even threatened by commercial factors and the Internet.

Which of the following involves entering data in computer files, inspecting the data for errors, and running tabulations and various statistical tests? B. data analysis.