DBMS Notes

Structured VS Unstructured Database

The data present in database will either be a structured or unstructured. Let see both these structures,

1. Structured Database

Structured data is the data which has been predefined to a set structure (table) before being placed in data storage.

  • There are many ways to store the structured data but The best example of structured data is the relational database (RDBMS)
  • It is used in were record is required in the form of structure or table i.e Universities, school, tickets data etc.
  • Almost 10% of structure data is using now a days
  • It is our main topic in database syllabus.
  • schema-on-write is the other name of structured database.

2. Unstructured Database

Unstructured data stored in its native (actual) format as it send. So, Data has no proper structure when it store in database and not processed until it is used.

  • It comes in thousands of file formats, including email, social media posts, presentations, chats, satellite imagery etc.
  • NoSQL (Not only SQL) databases software is most suitable for this purpose
  • Mostly technologies are using unstructured data. Almost 90% database is unstructured. Big data using unstructured database
  • Schema-on-read is the other name of Unstructured database.

Advantage of Unstructured data

As there are pros and cons of structured data, unstructured data also has strengths and weaknesses for specific business needs. Some of its benefits include:

  • Freedom of the native format:  Because unstructured data is stored in its native format. So, the data is not defined until it is needed.
  • Faster accumulation rates: There is no need to predefine the data, which means it can be collected quickly and easily.
  • Data massive storage: it can hold massive amount of data easily.

Keep in mind that the data In database may be any of the following form.

  • Hierarchical
  • Network
  • Relational
  • Distributed
  • Object-oriented
  • And others

According to need, all the above database forms may either structure or unstructured.

Note: The earliest types of database management systems consist mainly of hierarchy and network models. However, over time, these models became overtaken by relational database.


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