Question

Difference between structured, semi- structured and unstructured data.

Answer 1

Structured Data
For geeks and developpers (not the same things ^^) Structured data is very banal. It concerns all data which can be stored in database SQL in table with rows and columns. They have relationnal key and can be easily mapped into pre-designed fields. Today, those datas are the most processed in development and the simpliest way to manage informations.

But structured datas represent only 5 to 10% of all informatics datas. So let’s introduce semi structured data.

Semi structured data
Semi-structured data is information that doesn’t reside in a relational database but that does have some organizational properties that make it easier to analyze. With some process you can store them in relation database (it could be very hard for somme kind of semi structured data), but the semi structure exist to ease space, clarity or compute…

Examples of semi-structured : CSV but XML and JSON documents are semi structured documents,

Answer 2

Answer:

Structured data is easier to search while unstructured data requires more effort.

Explanation:

because structured data can be text or info that can be insert into a relational DB. unstructured data can be audio and video files that needs more effort or post-process to create a report but cannot be part of a relational DB.