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The Big Data

Personal Feedback
by

Really Lin

on 16 July 2015

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Transcript of The Big Data

Global stored information amount?
2007 - 300EB
2013 - 1200EB
1EB = 1024 PB = 1 million TB = Over 1 billion GB
Every person on earth can have...
1 PB = 1024TB = Over 1 million GB data
in 3 seconds
Have no idea?
Have you ever heard about it?
Datafication
Sampling
Due to unable to deal with all the data at the same time, sampling is an better way to predict a future or confirming a hypothesis.
However, in some cases, only based on samples might get an incorrect result due to it is extremely hard to have an real objective random sampling.
Case Study: Google Flu Trends (H1N1)
While 2009, the deadly flu spread in all over the world. However, CDC(Centers for Disease Control and Prevention) accidentally found that Google have more efficiently, effectively and instantly information than they have.
How?
Google picked out the first 50 million searching key words at the time by Americans
Compared with the data of CDC (Centers for Disease Control and Prevention) on the spread of seasonal flu from 2003 to 2008
Get a list of top 45 searching Keywords
Trace the time and region that most of people searching the information by key in these keywords.
The result could tell where the flu had spread in a almost instantly timing.
Without any physical health examination
Without going to different places
Without long reporting time and human resource
Only by analyzing all data
The result by analyzing samples can only prove that there are certain relation with the hypothesis. About other factors and relations have to held more experiments all over again.
Causality = Find about why
Give an hypothesis

Sampling

Analyze or Experiment

Result

Process
Datafication :
EX: The Universal Transverse Mercator (UTM) system
It broke the world into 60 zones which make location could now be identified, recorded, and analyzed in a standardized, numerical format. ----- p87. The Big Data
Put information into a form that can be recorded , analyzed and reorganized.
The Big Data
Value
Features
When These Become Data
Words
Features
The priceless
Reuse
Recombination
Extension
EX: The data collected by google street view cars
Reuse: Can be use by any other company
Extension: Will be a very good resource for Autonomous Vehicles
Combination:
The gathered data can improve "Google Map" with data in different field
Location
Interaction
Google Digitize Book Plan
7 years - Already over 20 million books scanned
Scan and capture book pages into high quality images
Use optical character-recognition software to analyze it into words
Recaptcha
Your target clients' favorite places
The shortest path
Autonomous Vehicle more safely
.
.
.
Social Graph
Emotions
Hobbies
Favorites
Friends
This prezi only represent my personal feedback of reading "The Big Data" wrote by "Viktor Mayer- Schonberder" and "Kenneth Cukier".
I just mentioned about few basic ideas only. Lot more details illustrated in the book.
Processing
Special
Rising Popular Topics
It will become a Giant Data Treasure Hunting
.
Last
Big Data is really an important idea to understand for the modern society. It's coming and going to change our world.
Thank you
by Really Lin
Feel free to give any comments if you have any thoughts
Data = Value
Why does it happen?
Datafication and Value
Features
What do you think it is?
What does it matter with me?
Problems
Suggestions
Tech
Storage
Processing
Business
Personalize & Customize
Marketing
Features
Case 1
Case 2
Amazon.com
H1N1
Case 3
Target
When you have all data...
"The Amazon Voice" disbanded
Auto Recommendation system takes one third of whole sale
VS
Amazing Pregnant Prediction
Find Mom members
Check their shopping records in a long term way
Compare to the unknown customer's shopping record
Send them the "right" coupon at the perfect timing
One day, an angry man stormed into a branch of Target and asked to see the manager with a coupon in his hand...
From sampling to all data
Sometimes, we don't have to ask about why...
More possibilties
Different way of viewing things
Problems
1. Messy
2. Signal Noise Ratio
5. Privacy
4. Only number counts?
3. Miss number judgemants
Suggestions
1. Find your own filters
What data that you or your company can have?
Any available datafication?
3. Be more aware of your personal details
2.
X 320
Full transcript