Data Farming

C1 16+

Pronunciation: /ˈdeɪtə ˈfɑrmɪŋ/

Definitions of data farming

noun the practice of gathering data from various sources for analysis or manipulation

Example Sentences

A1 Data farming is the process of collecting information from various sources.

A2 Companies use data farming to gather insights about consumer behavior.

B1 Data farming can help businesses make informed decisions based on trends and patterns.

B2 The practice of data farming has raised concerns about privacy and security.

C1 Sophisticated algorithms are often used in data farming to analyze large datasets.

C2 Ethical considerations play a significant role in the practice of data farming in today's digital age.

Examples of data farming in a Sentence

formal Data farming is the practice of collecting and analyzing large amounts of data for various purposes.

informal I heard that company is into data farming, they collect a lot of information about their customers.

slang Data farming is like harvesting information from different sources to gain insights.

figurative In the digital age, data farming is like tilling the fields of information to reap valuable insights.

Grammatical Forms of data farming

plural

data farmings

present tense

data farms

future tense

will data farm

perfect tense

have data farmed

continuous tense

is data farming

singular

data farm

positive degree

data farming

infinitive

to data farm

gerund

data farming

participle

data farmed

Origin and Evolution of data farming

First Known Use: 1990 year
Language of Origin: English
Story behind the word: The term 'data farming' originated in the field of computer science and information technology to describe the process of generating large amounts of data for analysis and research purposes.
Evolution of the word: Originally used in the context of simulating data for testing and research, 'data farming' has evolved to encompass a broader range of activities related to data generation, collection, and analysis in various industries.