![]() We need data structures nowadays because things are becoming complex and the amount of data is increasing at a high rate. In short, the columns are the attributes and the rows are the entities.įield: It is a single unit of information that represents the attribute of an entity. For example, “Name = Kanika” here the attribute is “Name” and “Kanika” is an entity. The attribute is the column that stores the information related to the particular name of the column. If you see, we store the names, roll no and the subjects of the students under the “Names”, “Roll no” and “Subject” columns and fill the rest of the row with the required information. In the above example, we have a record that stores the names of the students along with their roll number and subjects. Now, there will be a file for each department in which all the records of employees are getting saved together.Īttribute and Entity: Let’s understand this with an example! Each department has a record of each employee which will be stored as a record. These departments have a number of employees working together. For example, in a company, there are various departments, “Sales departments”, “Marketing departments”, etc. ![]() For example, if we talk about a particular company, then its “Name”, “Address”, “Area of knowledge of a company”, “Courses”, etc are combined together to form a record.įile: A file can be described as a group of records. Record: It can be described as a group of various data elements. For example, “Student Name” is divided into three parts “First Name”, “Middle Name” and “Last Name”. ![]() Group Items: The data items which are further subdivided into parts are known as group items. For example, “Student’s name”, “Student’s id”, “Student’s roll no”, etc. Given below are some terminologies that are used nowadays:ĭata: It can be described as a group of values. ![]()
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