Question

Q1: Describe the differences between structured and unstructured data. Explain structured data in big data environment and give one (1) example of machine generated structured data.

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Answer 1

Differences between structured and unstructured data:

Structured Data :

• This sort of information(data) has a set of substantially characterized attributes and can be effectively stored in an auxiliary structure with their assigned fields.
• It very well may be shown in rows and columns. It is increasingly objective.
• This sort of information(data) is exceptionally composed and can be effectively mapped to a SQL database
• This information(data) is easier to manage, query or alter.
• Example: Data present in SQL or RDBMS
• Structured information is effectively accessible by essential algorithms.
• Examples: incorporate spreadsheets, information(data) from machine sensors, Contacts with Phone numbers, library indexes that contain information of creator, and pages in an organized way.

Unstructured Data :

• This sort of information doesn't have a pre-characterized composed arrangement of attributes or model
• The same characteristic may contain various information types. E.g. picture of various configurations (formats).
• Since the information has not been arranged, subsequently it is hard to oversee and keep up in since a long time ago run
• Difficult to investigate and query
• Example: Email messages
• Usage: Usually bigger organizations produce unstructured information often and later the information is cleaned and sorted out.
• Unstructured information is by and large as content, picture, sound or video. It is disorderly. It is increasingly subjective. It can't be put away in rows or columns like structured information(data).
• Examples – websites, reports (word or PDF records), scanned pictures, and so on.

Structured data in a big data environment

Information (data) that are made in huge volumes is called Big data. This information is ceaselessly created as structured information(Data) from comprehensively two sources.

• Machine-created

• Human-created

Machine-created information is for the most part delivered by the particular machines within specific domains. These machines are generally fully automated except for operating procedures which may require partial intervention by humans.

Example of machine-generated structured data.

The degree of potassium under the foundation of a plant is in effect consistently checked and estimated by a sensor where the applicable information (obviously structured) is being caught and sent to a processing system for investigation.