Introduction to BIG DATA Part – 01 Nadeesha Thilakarathne

Content

• What is BIG DATA

• From Where it Comes

• 3V's of Big Data

• Velocity

• Variety

• Volume

• Characteristics of Big Data

• Valance

• Veracity

• How Big Data Looks

• References

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What is BIG DATA

• Data which are very large in size

BIG DATA

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From Where it Comes

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Variety

3V's of Big Data…

Volume

Velocity

3V’s

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Velocity

• The data is increasing at a very fast rate

• Yesterday data is not recent anymore

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Variety

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DATA

Structured

1. Databases2. Data warehouses3. Enterprise systems

(CRM,ERP)

Unstructured

1. Analog Data2. GPS tracking information3. Audio/video streams

Semi – Structured

1. XML2. Email

Volume

• The amount of data which we deal with is of very large size of Peta bytes.

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3V's of Big Data…

• Volume: big data doesn't sample; it just observes and tracks what happens

• Velocity: big data is often available in real-time

• Variety: big data draws from text, images, audio, video; plus it completes missing pieces through data fusion

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Characteristics of Big Data

• Volume

• Variety

• Velocity

• Valance

• Veracity

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New Vs come into the action with new

challenges

Valance

• Connectedness’ of Big data

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More connections among data

Increase the Complexity of data

analysis

Veracity

• The quality of captured data can vary greatly, affecting accurate analysis

• Simply say ,“Uncertainty of Data”

• Refers to the biases, noises, abnormality in data

• Trustworthiness and Truthfulness matters

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How Big Data Looks

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References

• Big Data – What is Big Data – 3 Vs of Big Data – Volume, Velocity and Variety – Day 2 of 21

• WIKIPEDIA – Big Data

• Educationalresearchtechniques – Characteristics of Big Data

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A BIG THANK YOU …