CLOUD COMPUTING

Detailed explanation-1: -There are two methods for semi-structured data processing. One is to synchronize the data into a field. Each time we use it, we can use some complex types. JSON functions can also extract directly on demand, but the data is put into one field.

Detailed explanation-2: -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.

Detailed explanation-3: -Semi-structured data is data that has not been organized into a specialized repository, such as a database, but that nevertheless has associated information, such as metadata, that makes it more amenable to processing than raw data.

Detailed explanation-4: -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.