Data Farm

B2 16+
Pronunciation Definitions Examples Grammatical Forms Origin and Evolution

Pronunciation: /ˈdeɪtə fɑrm/

Definitions of data farm

noun a place where large amounts of data are collected, stored, and processed for various purposes

Example Sentences

A1 A data farm is a place where information is stored and processed.

A2 Data farms are essential for companies to collect and analyze large amounts of data.

B1 The data farm was equipped with advanced technology to handle massive amounts of information.

B2 Companies use data farms to store customer data securely and ensure compliance with data protection laws.

C1 The data farm's infrastructure was designed to scale rapidly to accommodate increasing data storage needs.

C2 Data farms play a crucial role in the digital economy by providing the necessary infrastructure for big data analytics.

Examples of data farm in a Sentence

formal The company invested in a state-of-the-art data farm to store and analyze large amounts of information.

informal They set up a huge data farm to handle all their data needs.

slang They built a massive data farm to crunch all their numbers.

figurative The data farm was like a digital garden, growing and harvesting information constantly.

Grammatical Forms of data farm

plural

data farms

comparative

more data farm

superlative

most data farm

present tense

data farm

future tense

will data farm

perfect tense

has data farmed

continuous tense

is data farming

singular

data farm

positive degree

data farm

infinitive

to data farm

gerund

data farming

participle

data farmed

Origin and Evolution of data farm

First Known Use: 1990 year
Language of Origin: English
Story behind the word: The term 'data farm' originated in the field of technology and computing to describe a large collection of servers and data storage devices used to process and store massive amounts of data.
Evolution of the word: Initially, 'data farm' referred to physical facilities housing servers and storage devices. Over time, the term has evolved to encompass virtual data farms in cloud computing environments, where data is processed and stored remotely.