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1. Structured Data
- Structure data also called Relational database.
- It store data in row and column i.e. table format.
- It is familiar to everyone
- SQL is used in structure data.
- It includes : numbers, string and dates.
- Easy to search and filter
- pre-defined structure of database.
- limited flexibility & time and resource management issue.
- Structure database software : SQL server and Oracle etc.
Name | Class | RollNO |
Amar | M.tech | 65655656 |
Shiva | B.tech | 45656565 |
Structured Data
2. Semi-Structured Data
- Semi-Structured Data have both the qualities of structured & unstructured data.
- Easier analysis of data compare to unstructured data.
- No pre-defined schema , not organized in row and column, NOSQL.
- It can used to store meta data about a business process.
3. Unstructured Data
- No Pre-defined data model. usually store different types of file.
- it includes: photos, videos, text, documents and log files.
- also known as Dark Data.
- Unstructured data can’t be analyze without proper software tools