FUNDAMENTALS OF COMPUTER

Detailed explanation-1: -Semi-structured data is information that does not reside in a relational database but does have some organizational properties that make it easier to analyze. Characteristics of semi-structured data include: Data does not conform to a data model but has some structure. Data is not stored in rows and columns.

Detailed explanation-2: -Semi-structured data is information that does not reside in a relational database but that has some organizational properties that make it easier to analyze.

Detailed explanation-3: -Semi-structured data refers to data that is not captured or formatted in conventional ways. Semi-structured data does not follow the format of a tabular data model or relational databases because it does not have a fixed schema.

Detailed explanation-4: -The semi-structured model is a database model where there is no separation between the data and the schema, and the amount of structure used depends on the purpose. The advantages of this model are the following: It can represent the information of some data sources that cannot be constrained by schema.

Detailed explanation-5: -A few examples of semi-structured data sources are emails, XML and other markup languages, binary executables, TCP/IP packets, zipped files, data integrated from different sources, and web pages.