"Databases" Pronounce,Meaning And Examples

"Databases" Natural Recordings by Native Speakers

Databases
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"Databases" Meaning

A database is a collection of organized data, typically in a digital format, that is used to store, manage, and retrieve data. It allows multiple users or applications to access, manipulate, and share the data in a controlled and structured manner.

"Databases" Examples

Here are 5 usage examples based on the word "databases":

1. Data Storage

A company needs databases to store and manage customer information, product inventory, and financial records.

2. Retrieval

The software allows users to retrieve specific data from the database using keywords and search criteria.

3. Integration

The online store integrates multiple databases, including customer, product, and order information, to provide a seamless shopping experience.

4. Querying

To find a specific customer's order history, the IT team uses SQL queries to retrieve data from the database.

5. Security

To ensure data security, the company implemented authentication protocols and firewalls to protect its sensitive databases storing customer information and financial data.

"Databases" Similar Words

Dasyurids

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Dasyurine

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Dasyurine refers to a term used to describe a group of venomous mammals belonging to the family Dasyuridae, commonly known as marsupial carnivores or native carnivorous marsupials. These animals are found in Australia and New Guinea, and they are closely related to quolls, dunnarts, and Tasmanian devils. The term "dasyurine" is derived from the Greek word "dasyurus", meaning "hairy-tailed", which refers to the distinctive hairy tail seen in many members of this family.

Data-driven

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Data-mining

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Data

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Databank

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Databanks

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Database

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A database is a collection of organized data, typically in a digital format, that is designed to store, manage, and retrieve specific information. It is a centralized repository that allows for the storage, organization, and retrieval of large amounts of data, and is often used in businesses, organizations, and governments to manage and analyze data.

Datable

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Datacasting

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Datacenter

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Datacentre

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Datagram

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Datagrams

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Dataria

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Datary

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