What are the types of big data?

Data that can be stored, accessed and processed in a fixed format is called. Structured data? . Because the formats of these data are similar, enterprises can get the maximum benefit by performing analysis. People have also invented various advanced technologies to extract data-driven decisions from structured data. However, because the creation of structured data has reached the symbol of Zettabytes, the world is developing to such a degree.

2. Unstructured data

Any data with unknown form or structure belongs to unstructured data. Processing unstructured data and analyzing it to get data-driven answers is an arduous task, because they come from different categories, and putting them together will only make the situation worse. Heterogeneous data sources including simple text files, images, videos, etc. Is an example of unstructured data.

3. Semistructured data

There are both structured data and unstructured data in semi-structured data. We can see that semi-structured data is a formal structure, but in fact it is not defined by the table definition in relational DBMS. Web application data is an example of semi-structured data. It contains unstructured data, such as log files and transaction history files. OLTP system is designed to process structured data, which is stored in relationships.