Introduction to BIG DATA part 01
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Transcript of Introduction to BIG DATA part 01
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Introduction to BIG DATA Part – 01 Nadeesha Thilakarathne
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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
>1015
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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
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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
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Valance
• Connectedness’ of Big data
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More connections among data
Increase the Complexity of data
analysis
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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 …