Simple Introduction about Big Data

1. Introduction to BIG DATA
Part – 01
Nadeesha Thilakarathne

2. 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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3. What is BIG DATA
• Data which are very large in size
BIG DATA
>1015
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4. From Where it Comes
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5. Variety
3V's of Big Data…
Volume
Velocity
3V’s
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6. Velocity
• The data is increasing at a very fast rate
• Yesterday data is not recent anymore
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7. Variety
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DATA
Structured
1. Databases
2. Data warehouses
3. Enterprise systems
(CRM,ERP)
Unstructured
1. Analog Data
2. GPS tracking information
3. Audio/video streams
Semi – Structured
1. XML
2. Email

8. Volume
• The amount of data which we deal with is of very large size of Peta bytes.
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9. 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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10. Characteristics of Big Data
• Volume
• Variety
• Velocity
• Valance
• Veracity
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New Vs come into the action with new
challenges

11. Valance
• Connectedness’ of Big data
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More connections
among data
Increase the
Complexity of data
analysis

12. 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
• Trustworthinessand Truthfulnessmatters
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13. How Big Data Looks
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14. 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 BIGTHANK YOU …