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Big Data overview

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Big data concepts

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Big data concepts

by Nehad Ebrahim
1

is : A collection of large , complex data that cannot be efficiently processed using traditional technology ( such as Excel ) to make meaningful use of it . Analyzing big data allows analysts , researchers , and entrepreneurs to make better , faster decisions .

2

Sources of big data : 1 - Internet - connected devices ( ) : Internet - connected devices such as smart refrigerators , smart watches , or connected cars 2 - : social media generates data from users' daily activities , such as posts , comments , photos , videos 3 - : Electronic payments , banking transactions , and stock trading 4 - such as mobile phones , cameras , and smart home devices . 5 - : Videos , images , and audio content uploaded or viewed online . 6 - : through population registers , statistics , tax data , and censuses . 7 - : Satellites and GPS devices collect data about geographic locations , roads , and the environment .

3

The 5Vs of Big Data 1 - : Refers to the massive amount of data collected and stored . 2 - : Refers to the speed at which data is generated and processed . 3 - : Refers to the variety of data types collected include ( structured and unstructured data ) . 4 - : Refers to the reliability and quality of the data . 5 - : Refers to the usefulness that can be derived from the data .

4

Types of Big Data 1 - : Data that is organized and arranged in tables with rows and columns , similar to traditional databases . 2 - : This is data that does not come in a structured form , such as tables or databases . This type of data is difficult to analyze using traditional tools . 3 - : is a hybrid of structured and unstructured data . Emails are a good example because they include unstructured data in the message body , as well as additional structural features such as sender , recipient , subject , and date .

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