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Presented by
Krishna Kumar & Sanil Kumar, Architects @Huawei India
Human Evolution Video
The Story of BIG DATA
Stores 1 petabyte to 2.5 petabytes…
Using just ~20watts power
26 different ways to code its "bits."
“a computer with the same memory and processing
power would require 1 gigawatt of power, or
"basically a whole nuclear power station to run one
computer that does what our 'computer' does with
20 watts”
- Tom Bartol, a neuroscientist at the Salk Institute.
The Story of BIG DATA
Lascaux cave painting.
About 20,000 years old…
Sophisticated and appealing to modern tastes
Quipu
a wearable data storage and communication system
500 to 5000 years ago
cord color, manner of connection, relative placement, cord
spacing, the types and placement of knots on individual cords
The Story of BIG DATA
Tally sticks
Incised bones
Rock Art
The Story of BIG DATA
picture writing
a different picture for every word..!
Early Scripts…
The Story of BIG DATA
Volume
Velocity
Veracity
Variety
Value
Verification
Visualization
Low
Slow
High
Less
High
Not Critical
Simple, Easy
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
extremely large data sets that may be analyzed
computationally to reveal patterns, trends, and
associations, especially relating to human
behavior and interactions
1991 , Tim Berners-Lee
1999, the term Big Data
appeared in Visually Exploring Gigabyte
Datasets in Real Time, published by the
Association for Computing Machinery
The Story of BIG DATA
Volume
Velocity
Veracity
Variety
Value
Verification
Visualization
Low Massive
Slow Accelerated
High Uncertain Data
Less All Kind
High Low per Volume
Not Critical Very Critical
Simple, Easy Complex, Access
Volume Massive
Velocity Accelerated
90% of the world’s
data was
created in the last 2 years.
Veracity Uncertain Data
~80% of the data generated is ‘dirty’
Variety All Kind
Different Industries…complex to derive value
Value Low per Volume
security / privacy / compliance
This is why there was so much uproar about the
NHS hospitals sharing information with Google.
People thought that if Google is sharing all this
hospital information then Google will know too
much about me.
Verification Very Critical – Unknown, Unknown!
Too much of information to be presented!
Visualization Complex, Access
The Story of BIG DATA
Needs a framework to handle….!
A Simple one…
A Bit more complex…
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
CUSTOMER CARE IN 2020
Operator: “Thank you for calling Pizza Hut . May I
have your…
Customer: “Heloo, can I order..”
Operator : “Can I have your multi purpose card
number first, Sir?”
Customer: “It’s eh…,
hold……….on……889861356102049998-45-
54610?
Operator : “OK… you’re… Mr Singh and you’re
calling from 17 Jalan Kayu.
Your home number is 4094! 2366, your office
76452302 and your mobile is
0142662566. And now you are calling from
home!”
Customer: “How did you get all my phone
numbers?
Operator : “We are connected to the system Sir”
Customer: “May I order your Seafood Pizza…”
Operator : “That’s not a good idea Sir”
Customer: “How come?
• Operator : “According to your medical records,
you have high blood
pressure and even higher cholesterol level Sir”
Customer: “What?… What do you recommend
then?”
Operator : “Try our Low Fat Hokkien Mee Pizza.
You’ll like it”
Customer: “How do you know for sure?”
Operator : “You borrowed a book entitled
“Popular Hokkien Dishes” from
the National Library last week Sir”
Customer: “OK I give up… Give me three family
size ones then, how much
will that cost?”
Operator : “That should be enough for your
family of 10, Sir. The total
is $49.99
Customer: “Can I pay by! credit card?”
Operator : “I’m afraid you have to pay us cash,
Sir. Your credit card
is over the limit and you owe your bank
$3,720.55 since October last
year. That’s not including the late payment
charges on your housing
loan, Sir.”
Customer: “I guess I have to run to the
neighbourhood ATM and withdraw
some cash before your guy arrives”
Operator : “You can’t Sir. Based on the records,
you’ve reached your
daily limit on machine withdrawal today”
Customer: “Never mind just send the pizzas, I’ll
have the cash ready.
How long is it gonna take anyway?”
Operator : “About 45 minutes Sir, but if you
can’t wait you can always
com and collect it on your motorcycle…”
Customer: ” What!”
Operator : “According to the details in system
,you own a
Scooter,…registration number 1123…”
Customer: ” ????”
Operator : “Is there anything else Sir?”
Customer: “Nothing… by the way… aren’t you
giving me that 3 free
bottles of cola as advertised?”
Operator : “We normally would Sir, but based
on your records you’re
also diabetic……. “
Customer: #$$^%&$@$%^
Operator : “Better watch your language Sir.
Remember on 15th July 1987
you were convicted of using abusive language
on a policeman…?”
Customer: [Faints]
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
Which
one
sir?
That’s what
I am
figuring
out!
The Story of BIG DATA
 Network resiliency and big data
applications
 Solving network congestion for big data
applications
 Network consistency more of a focus than
latency in big data
 Prepare now for big data scalability later
Network partitioning to handle big data
 Application awareness for big data
networks
 Dig Deeper on Software-defined data
center
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
The Story of BIG DATA
The phrase data science really took off after
O’Reilly’s Strata Conference in 2011. That
conference brought 1,500 “data scientists”
together.
Anthony Goldbloom, co-founder and CEO of Kaggle
(https://www.kaggle.com/ ):
“data science will be bigger than software
engineering (20 million software engineers now)
in the next decade. Using R or the Python Data
tools will take over SAS, Excel, etc.”
Combining data with robotics
NASA using it to analyze real-time data on Mars
Big data is use to predict treatment plans
and to predict diseases
Machine Learning technology will take us where computers
predicts our diseases, also able to to find new disease patterns
Medical Training will be rewritten
Modern doctoring begins with a boot-camp experience: endless days of
unending shifts, as young interns are forced to ingest—and deliver—diagnoses
with reflex like expertise. All that will go.
Computers to read emotions
-- combining the sensors with machine learning and with data
algorithms to do what we always believed were very human
skills
Real-time streaming : Window of opportunity for all!
Real-time streaming, insights into data will be the
hallmarks of Big Data winners
“Autonomous agents and things”
will continue to be a huge trend, according to Gartner, including
robots, autonomous vehicles, virtual personal assistants, and
smart advisers
Prescriptive analytics…
- Google’s self-driving car to predict what is going to
happen, when it is going to happen and why it is going
to happen.
Cognitive technology will be the new buzzword
Big Data predictions on Euro Football 2016 turning true!
This clearly indicates that big data is not only transforming sport and is also
changing the games that are based on sports.
Big Data Analysts from Bayern Munich predicted Portugal 67% of winning!!
“Fast data” and “actionable data”
will replace big data?! According to some experts that is going to
happen!
The argument is that big isn’t necessarily; focus on asking the
right questions!
Using alterations in the way quartz
refracts light, we could store data in a
superdense form for centuries,
according to researchers. UNIVERSITY
OF SOUTHAMPTON
Future with nanotubes, quartz, etc.
Carbon nanotubes
from being used as
transistors for
computer chips. It
could mean the end of
the silicon computer
chip - IBM
Nanobots do not exist yet,
but when they do, futurists
predict possible uses for
nanorobots will include
molecular manufacturing
(nanofactories) and medical
nanobots that steer
autonomously through your
blood stream making repairs
and guarding against
infection.
Future with Photonics
Photonic integrated circuits have already given us a new perspective to the
power and versatility of computation in the future.
Technology giants such as Intel, IBM, Microsoft and Google already have
made huge investments in this direction.
Future with Quantum Computing
A regular computers have to solve one problem at a time in sequence, but
quantum computers can solve multiple problems at the same time. That kind of
speed as the potential to revolutionize entire industries.
Accurate Weather forecasting ; Faster drug discovery; No traffic problems; Accelerated space discovery
There’s a philosophical debate on AI.
Is AI teaching computers to beat humans? Where do we go?
IBM’s supercomputer Deep Blue
beat world chess champion Garry
Kasparov in a six game match.
IBM Watson defeated two of
Jeopardy's greatest champions Ken
Jennings and Brad Rutter - IBM Watson: 2016, Google created an AI that beat
Go world champion Lee Sedol.
DeepMind Go system taught
itself how to play Go. There were not
as many experts involved, so this is a
mind blowing breakthrough.
1997 Deep Blue
2011 Watson
2016 DeepMind
The Story of BIG DATA
Machine Evolution Video
The Story of BIG DATA
The Story of BIG DATA
Thank You! Krishna & Sanil
Disclaimer: Images & many data are taken from Internet and only used for information sharing. We do not claim any other rights/correctness to it. Also no commercial usage of these slides allowed.

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The Story of BIG DATA

  • 1. Presented by Krishna Kumar & Sanil Kumar, Architects @Huawei India
  • 4. Stores 1 petabyte to 2.5 petabytes… Using just ~20watts power 26 different ways to code its "bits."
  • 5. “a computer with the same memory and processing power would require 1 gigawatt of power, or "basically a whole nuclear power station to run one computer that does what our 'computer' does with 20 watts” - Tom Bartol, a neuroscientist at the Salk Institute.
  • 7. Lascaux cave painting. About 20,000 years old… Sophisticated and appealing to modern tastes
  • 8. Quipu a wearable data storage and communication system 500 to 5000 years ago cord color, manner of connection, relative placement, cord spacing, the types and placement of knots on individual cords
  • 12. picture writing a different picture for every word..!
  • 21. extremely large data sets that may be analyzed computationally to reveal patterns, trends, and associations, especially relating to human behavior and interactions 1991 , Tim Berners-Lee 1999, the term Big Data appeared in Visually Exploring Gigabyte Datasets in Real Time, published by the Association for Computing Machinery
  • 23. Volume Velocity Veracity Variety Value Verification Visualization Low Massive Slow Accelerated High Uncertain Data Less All Kind High Low per Volume Not Critical Very Critical Simple, Easy Complex, Access
  • 25. Velocity Accelerated 90% of the world’s data was created in the last 2 years.
  • 26. Veracity Uncertain Data ~80% of the data generated is ‘dirty’
  • 28. Different Industries…complex to derive value Value Low per Volume
  • 29. security / privacy / compliance This is why there was so much uproar about the NHS hospitals sharing information with Google. People thought that if Google is sharing all this hospital information then Google will know too much about me. Verification Very Critical – Unknown, Unknown!
  • 30. Too much of information to be presented! Visualization Complex, Access
  • 32. Needs a framework to handle….!
  • 34. A Bit more complex…
  • 39. CUSTOMER CARE IN 2020 Operator: “Thank you for calling Pizza Hut . May I have your… Customer: “Heloo, can I order..” Operator : “Can I have your multi purpose card number first, Sir?” Customer: “It’s eh…, hold……….on……889861356102049998-45- 54610? Operator : “OK… you’re… Mr Singh and you’re calling from 17 Jalan Kayu. Your home number is 4094! 2366, your office 76452302 and your mobile is 0142662566. And now you are calling from home!” Customer: “How did you get all my phone numbers? Operator : “We are connected to the system Sir” Customer: “May I order your Seafood Pizza…” Operator : “That’s not a good idea Sir” Customer: “How come? • Operator : “According to your medical records, you have high blood pressure and even higher cholesterol level Sir” Customer: “What?… What do you recommend then?” Operator : “Try our Low Fat Hokkien Mee Pizza. You’ll like it” Customer: “How do you know for sure?” Operator : “You borrowed a book entitled “Popular Hokkien Dishes” from the National Library last week Sir” Customer: “OK I give up… Give me three family size ones then, how much will that cost?” Operator : “That should be enough for your family of 10, Sir. The total is $49.99 Customer: “Can I pay by! credit card?” Operator : “I’m afraid you have to pay us cash, Sir. Your credit card is over the limit and you owe your bank $3,720.55 since October last year. That’s not including the late payment charges on your housing loan, Sir.” Customer: “I guess I have to run to the neighbourhood ATM and withdraw some cash before your guy arrives” Operator : “You can’t Sir. Based on the records, you’ve reached your daily limit on machine withdrawal today” Customer: “Never mind just send the pizzas, I’ll have the cash ready. How long is it gonna take anyway?” Operator : “About 45 minutes Sir, but if you can’t wait you can always com and collect it on your motorcycle…” Customer: ” What!” Operator : “According to the details in system ,you own a Scooter,…registration number 1123…” Customer: ” ????” Operator : “Is there anything else Sir?” Customer: “Nothing… by the way… aren’t you giving me that 3 free bottles of cola as advertised?” Operator : “We normally would Sir, but based on your records you’re also diabetic……. “ Customer: #$$^%&$@$%^ Operator : “Better watch your language Sir. Remember on 15th July 1987 you were convicted of using abusive language on a policeman…?” Customer: [Faints]
  • 46.  Network resiliency and big data applications  Solving network congestion for big data applications  Network consistency more of a focus than latency in big data  Prepare now for big data scalability later Network partitioning to handle big data  Application awareness for big data networks  Dig Deeper on Software-defined data center
  • 52. The phrase data science really took off after O’Reilly’s Strata Conference in 2011. That conference brought 1,500 “data scientists” together.
  • 53. Anthony Goldbloom, co-founder and CEO of Kaggle (https://www.kaggle.com/ ): “data science will be bigger than software engineering (20 million software engineers now) in the next decade. Using R or the Python Data tools will take over SAS, Excel, etc.”
  • 54. Combining data with robotics NASA using it to analyze real-time data on Mars
  • 55. Big data is use to predict treatment plans and to predict diseases Machine Learning technology will take us where computers predicts our diseases, also able to to find new disease patterns
  • 56. Medical Training will be rewritten Modern doctoring begins with a boot-camp experience: endless days of unending shifts, as young interns are forced to ingest—and deliver—diagnoses with reflex like expertise. All that will go.
  • 57. Computers to read emotions -- combining the sensors with machine learning and with data algorithms to do what we always believed were very human skills
  • 58. Real-time streaming : Window of opportunity for all! Real-time streaming, insights into data will be the hallmarks of Big Data winners
  • 59. “Autonomous agents and things” will continue to be a huge trend, according to Gartner, including robots, autonomous vehicles, virtual personal assistants, and smart advisers
  • 60. Prescriptive analytics… - Google’s self-driving car to predict what is going to happen, when it is going to happen and why it is going to happen.
  • 61. Cognitive technology will be the new buzzword
  • 62. Big Data predictions on Euro Football 2016 turning true! This clearly indicates that big data is not only transforming sport and is also changing the games that are based on sports. Big Data Analysts from Bayern Munich predicted Portugal 67% of winning!!
  • 63. “Fast data” and “actionable data” will replace big data?! According to some experts that is going to happen! The argument is that big isn’t necessarily; focus on asking the right questions!
  • 64. Using alterations in the way quartz refracts light, we could store data in a superdense form for centuries, according to researchers. UNIVERSITY OF SOUTHAMPTON Future with nanotubes, quartz, etc. Carbon nanotubes from being used as transistors for computer chips. It could mean the end of the silicon computer chip - IBM Nanobots do not exist yet, but when they do, futurists predict possible uses for nanorobots will include molecular manufacturing (nanofactories) and medical nanobots that steer autonomously through your blood stream making repairs and guarding against infection.
  • 65. Future with Photonics Photonic integrated circuits have already given us a new perspective to the power and versatility of computation in the future. Technology giants such as Intel, IBM, Microsoft and Google already have made huge investments in this direction.
  • 66. Future with Quantum Computing A regular computers have to solve one problem at a time in sequence, but quantum computers can solve multiple problems at the same time. That kind of speed as the potential to revolutionize entire industries. Accurate Weather forecasting ; Faster drug discovery; No traffic problems; Accelerated space discovery
  • 67. There’s a philosophical debate on AI. Is AI teaching computers to beat humans? Where do we go? IBM’s supercomputer Deep Blue beat world chess champion Garry Kasparov in a six game match. IBM Watson defeated two of Jeopardy's greatest champions Ken Jennings and Brad Rutter - IBM Watson: 2016, Google created an AI that beat Go world champion Lee Sedol. DeepMind Go system taught itself how to play Go. There were not as many experts involved, so this is a mind blowing breakthrough. 1997 Deep Blue 2011 Watson 2016 DeepMind
  • 72. Thank You! Krishna & Sanil Disclaimer: Images & many data are taken from Internet and only used for information sharing. We do not claim any other rights/correctness to it. Also no commercial usage of these slides allowed.