Index

A

ACID  29, 34, 36
Advanced Encryption Standard (AES)  84, 95, 101
Adwords  78, 79
Afghan War Diary, The  100
Amazon  36, 37, 44, 56, 80–6, 90, 95, 107, 109
Amnesty International  97, 100
Animal Farm  90
American Standard Code for Information Interchange (ASCII)  38, 39
Apollo 11  26
Armstrong, Neil  26
Assange, Julian  100, 101
autonomousvehicle  10, 11, 108

B

Babylonians  2
BASE  34
BellKor Pragmatic Chaos  87
Berners-Lee, T. J.  17
Bezos, Jeff  83
Bing  7, 104
BlackPOS  92
blogs  60
Bloom filter  47–51
Booz Allen Hamilton  97
Box, George  56
Brewer, Eric  33
Brin, Sergey  51, 56
BusinessWeek  76
byte  6, 12, 38, 39, 42, 48

C

Caesar cipher  94, 95
Caesar, Julius  94
Cafarella, Mike  30
CAP Theorem  33–4
census  2, 4
CERN  16
cholera outbreak  3
Chrysler  108
classification  23–5, 68
clickstream logs  7, 8
Clinton, Hillary  101
Cloud, the  28, 36, 37, 74, 83, 84, 93, 94, 96, 109
cluster  3
clustering  22, 23, 31
collaborative filtering  80, 83, 84, 87, 88
Common Crawl  46, 56
compression  37–42
cookies  8, 79, 93
correlation  19, 57, 58, 62
credit card fraud  21, 22, 24, 25, 51, 91, 92
Crick, Francis  10
Cutting, Doug  30, 31

D

Daemen, Joan  95
dark Web  93, 102–4
Data Encryption Standard (DES)  94, 95
data mining  20, 23, 70, 87
data science  13, 88
data scientist  13, 88, 89
datum  3
Deep Crack  94
deep Web  104
Delphi Research Group  65
digital marketing  8, 85
Discrete CosineAlgorithm  41
distributed file system  30, 44, 45
DownThemAll  98
Dread Pirate Roberts  103
drones  85, 108

E

earthquake prediction  13
Ebola  45, 46, 65–7
e-commerce  76–8
Economist The  100
Electronic Delay Storage Automatic Computer (EDSAC)  75
Electronic Frontier Foundation  94
email  6, 9, 17, 48–51, 73, 77, 91, 92, 96, 97, 101
encryption  73, 74, 84, 91, 92, 94, 95
Espionage Act  100
exabyte  6

F

Facebook  8, 31, 32, 44, 52, 60, 78, 80, 100
FancyBears  73
fibre-optic cable  96, 111
firewall  91
Fisher, Ronald  14, 15, 18
Flirtey Inc.  107

G

Gauss, Carl Friedrich  3
global pulse  111
Google  7, 30, 44, 51, 52, 56, 58, 60–5, 78, 95, 99, 104
Google Flu Trends  60–5, 67
Government Communications Headquarters (GCHQ)  97
Guardian, The   97

H

hacking  37, 74, 91, 93, 111
Hadoop  30–2, 43–5, 83
Hammond, Henry  3
Henry Samueli School of Engineering and Applied Science, UCLA  43
Hollerith, Herman  4
Home Depot  92, 93
Human Genome Project  10, 69–70
Humby, Clive  20

I

International Business Machines Corporation (IBM)  4, 6, 16, 26, 68, 70, 71, 76
International Computers Limited (ICL)  76
International Data Corporation (IDC)  37
Internet of Things  28, 108
Iraq War Logs  100
Ishango Bone  2

J

Jaccard index  81, 82
Java  31
Jeopardy  70–2
J. Lyons and Co.  75
Joint Photographic Experts Group (JPEG)  42

K

Kaptoxa  92, 93
Keynes, John Maynard  105
Kindle  90
Kuhn, Thomas  57

L

Laney, Doug  16, 18
Laplace, Pierre-Simon  3
Large Hadron Collider  16, 17
Lavoisier, Antoine  3
Lebombo Bone  2
lossless compression  37–40
lossy compression  38, 40–3

M

machine learning  20, 71, 87
Magnetic Resonance Imaging (MRI)  68, 70
magnetic tape  75
Manning, Bradley  100
Manning, Chelsea  100
MapReduce  43–7
marketing  8, 12, 20, 85
market research  84
Miller, Charlie  107
Millionaire calculator  15
Moore, Gordon  27
Moore’s Law  27, 28
My Friend Cayla  109

N

National Institute ofStandards and Technology (NIST)  94
National Security Agency (NSA)  97
Natural language processing (NLP)  71
Nepal earthquake  67–8
Netflix  28, 37, 77, 80, 83, 86–9
NewSQL  36
Newton, Isaac  3, 57
Ngram  56
Nikkei Hoshi Shinichi Literary Award  106
1984   90
Nissan  10
Nobel Peace Prize  97, 100
normalization  29
NoSQL  33–6

O

Orwell, George  90
over-fitting  64
Oxford English Dictionary  3

P

Page, Larry  51, 56
PageRank  51–6
pay-per-clickadvertising  78, 79
phishing  48, 73, 91, 92
population  2, 3, 8, 15, 66–8, 110
Priestley, Joseph  3
PRISM  97
public datasets  56
punched cards tabulator  4

Q

Quipu  2, 3

R

radio-frequency identification (RFID)  110
recommender systems  77, 80–3, 87, 88
regression  68
relational database  29, 30, 32, 34, 36
Rijmen, Vincent  95
Rijndael algorithm  95
Rijndael S-Box  95
robots  105–7

S

sample data  15, 89
sample survey  4
scalability  29, 33, 36
security  9, 69, 70, 73, 74, 79, 84, 89–111
semi-structured data  5, 6, 17, 18, 31, 34
sensor data  17, 18, 59, 68
Silk Road  103
Snow, John  3, 4
Snowden, Edward  90, 97–100, 102
social media  18, 60, 102
social networking  6, 8, 17, 35, 59, 60, 77, 78
Songdo InternationalBusiness District, South Korea  111
Sparta  1
Square Kilometer Array Pathfinder (ASKAP)  12
structured data  5, 7, 15, 28–30, 32
structured query language (SQL)  29, 33
supervised learningalgorithm  20, 24
Sweeney, Latanya  73

T

Target retail store  91
targeted advertising  8, 78–80, 85
Tesla  10, 11
Thucydides  1, 19
TOR (The Onion Router)  102–3
Twitter  8, 17, 31, 52, 60, 65, 78, 100

U

Uconnect  107
Ulbricht, Ross William  103
Uniform Resource Locator (URL)  74
United States Geological Survey (USGS)  13
unstructured data  5, 6, 30, 31, 32, 60, 71, 78
unsupervised learning algorithm  20, 21
Upper Paleolithic era  2
US National Security Agency (NSA)  97–9

V

Valasek, Chris  107
Valen, Snorre  101
variable selection  63
variety  10, 16–20, 59, 111
velocity  16, 18, 20, 59
veracity  18, 20, 59, 73
Vertesi, Janet  102
vertical scalability  29
volume  5, 7, 12, 16–17, 19, 20, 29, 59
Volvo  10

W

warping compression  42
Watson (IBM)  68, 70–2
Watson, James  10
West Africa Ebolaoutbreak  65–7
wget program  98
WikiLeaks  99–102
Wired  107
World Health Organization (WHO)  65–7
World Wide Web(WWW)  17

Y

Yahoo!  7, 30, 78, 93, 104
Yoo, Ji Su  73
YouTube  8

Z

zettabyte  37
Zika virus  67