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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
2
What is BIG DATA
 Data which are very large in size
BIG DATA
>1015
3
From Where it Comes
4
Variety
3V's of Big Data
Volume
Velocity
3Vs
5
Velocity
 The data is increasing at a very fast rate
 Yesterday data is not recent anymore
6
Variety
7
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
Volume
 The amount of data which we deal with is of very large size of Peta bytes.
8
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
9
Characteristics of Big Data
 Volume
 Variety
 Velocity
 Valance
 Veracity
10
New Vs come into the action with new
challenges
Valance
 Connectedness of Big data
11
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
 Trustworthinessand Truthfulnessmatters
12
How Big Data Looks
13
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
14
15
A BIGTHANK YOU

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Introduction to BIG DATA part 01

  • 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 2
  • 3. What is BIG DATA Data which are very large in size BIG DATA >1015 3
  • 4. From Where it Comes 4
  • 5. Variety 3V's of Big Data Volume Velocity 3Vs 5
  • 6. Velocity The data is increasing at a very fast rate Yesterday data is not recent anymore 6
  • 7. Variety 7 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. 8
  • 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 9
  • 10. Characteristics of Big Data Volume Variety Velocity Valance Veracity 10 New Vs come into the action with new challenges
  • 11. Valance Connectedness of Big data 11 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 12
  • 13. How Big Data Looks 13
  • 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 14