BIG DATA
ADEC GROUP: Worldwide Experience
Philippines
California
New York
Connecticut
Singapore
Malaysia
Kenya
Xiamen
Hong Kong
Bei...
OurVision	

We are a generational enterprise bringing success to our
customers, stakeholders, and employees.	

!
Mission	
...
Service Portfolio
Committed to transforming our clients’ capabilities	

through innovative, efficiency-driving initiatives....
!
Big Data can be characterised
as amount of digital data that
is uncomfortable to store,
transport or analyse
BIG DATA 

Characterised using 

4V’s
43 ZETTABYTES	

(43 Trillion Gigabytes) of data will be created by
2020, an increased of 300 times from 2005
6 BILLION
PEO...
Variety
Different
Forms of Data
As of 2011, the global
size of data in
healthcare was
estimated to be	

150 EXABYTES	

(16...
Veracity
Uncertainty
of Data
1 IN 3 BUSINESS
LEADERS	

don’t trust the information
they use to make decisions
?
27%
OF RES...
Velocity
Analysis of
Streaming Data
The NewYork Stock Exchange captures	

1 TB OF TRADE INFORMATION	

during each trading ...
The amount of data	

generated on planet	

earth is growing	

exponentially
010101010101010101
101010101010101010
01010101...
0x
10x
20x
30x
40x
50x
2012 2013 2014 2015 2016 2017 2018 2019 2020
By 2020The total amount of stored
data is expected to ...
Tokyo
San Francisco
By 2016 The cumulative size of all the worlds
data centre is expected to exceed...
16,000acres
Equival...
What fuels BIG DATA
Social Media
Telemedicine &
Health Care Security &
Surveillance
M2M and Wireless
Sensor Network
Smart Homes & Cities
Embed...
The Internet of Things (IoT) is the third
revolution in mass internet connectivity, it
is currently where the World Wide W...
NEXT WAVE 	

INTERNET OF EVERYTHING
“Fixed” Computing	

(You go to device)
Mobility / BYOD	

(The device goes with you)
In...
How much of the vast
amounts of data do we
analyse ?
0.5%
1.0
Traditional Analytics
2.0
Big Data
3.0
Fast Business Impact 

for the Data Company
Big Data and Analytics
Gartner pred...
!
Product Recommendations
!
Fraud Detection
!
“Custom Audiences” 	

for Targeted Ads
!
“People You May Know”
!
Search Algo...
Big Data and Analytics
“Things that spin”
How GE adopted a big data approach:
$2B initiative in software and analytics
Pri...
JOURNEY
BIG DATA
0M 60M
30M
REAL ESTATE DATA
0M 30M
15M
ON SHORE DATA
0M 40M
20M
CLINICAL TRIAL DATA
0M 20M
10M
ENERGY AND
ENVIRONMENTAL DA...
1,507 ENVIRONMENTAL 	

DATABASES
DATA PROCESSINGSource
Extract
ETL TOOLS
DATA PROCESSING
Transform
Load
QA
GeoCode
DeliverConsume
TECHNOLOGIES
ARCHITECTURE OVERVIEW
CUSTOMER
LOAD
BALANCER
CLOUD
WEB SERVERS
NODE.JS
SERVERS
ArcGIS
SERVERS
ArcGIS
DATABASE
SOLR
SERVERS...
BY THE NUMBERS
BIG DATA
WITH OVER 70 DATA
ANALYSTS WORKING 24/6
OVER 30 TECHNOLOGY &
BUSINESS PROFESSIONALS
ON A TWO YEAR MISSION
TO REDEFINE HOW
...
OVER 70TB 

of MAPS
OVER 45 

MAP LAYERS
!
WITH TABLES >
Files contain > 1Billion attributes	

multiplied by 50 states in ...
APPLICATIONS
BIG DATA
Sustainability
WORKBENCH
FirstCarbon Solutions
Sustainability
WORKBENCH
FirstCarbon Solutions
Summary
• Understand the data and how to process it before you venture into
Big Data	

• Be prepared to invest in a large ...
!
Thank you!
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group
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OutSystems Next Step 2014 Presentation - BIG DATA Journal ADEC Group

  1. 1. BIG DATA
  2. 2. ADEC GROUP: Worldwide Experience Philippines California New York Connecticut Singapore Malaysia Kenya Xiamen Hong Kong Beijing HarbinUK Australia Founded in 1998. 5500+ associates.
  3. 3. OurVision We are a generational enterprise bringing success to our customers, stakeholders, and employees. ! Mission To promote excellence by cultivating high performance employees, using innovative processes and creative technology that brings value to our customers.
  4. 4. Service Portfolio Committed to transforming our clients’ capabilities through innovative, efficiency-driving initiatives. CUSTOMIZED GLOBAL OUTSOURCING ONSHORE MANAGED SERVICES & OFFSHORE SCALABILITY SUSTAINABILITY & ENERGY MANAGEMENT SOLUTIONS EDUCATIONAL & LEARNING MANAGEMENT SOLUTIONS PHARMACEUTICAL & HEALTHCARE
 KPO SOLUTIONS ENVIRONMENTAL RISK MANAGEMENT SOLUTIONS
  5. 5. ! Big Data can be characterised as amount of digital data that is uncomfortable to store, transport or analyse
  6. 6. BIG DATA 
 Characterised using 
 4V’s
  7. 7. 43 ZETTABYTES (43 Trillion Gigabytes) of data will be created by 2020, an increased of 300 times from 2005 6 BILLION PEOPLE have cell phones WORLD POPULATION: 7 Billion It’s estimated that 2.5 QUINTILLION BYTES (2.3Trillion Gigabytes) of data are created each day Volume Scale of Data Most companies in the U.S. have at least 100 TERABYTES (100,000 Gigabyte) of data stored
  8. 8. Variety Different Forms of Data As of 2011, the global size of data in healthcare was estimated to be 150 EXABYTES (161Billion Gigabytes) By 2014, it’s anticipated there will be 420 MILLION WEARABLE, WIRELESS HEALTH MONITORS 4 BILLION+ HOURS OF VIDEO are watched onYouTube each month 4 MILLION TWEETS are sent per day by about 200 million monthly active users 30 BILLION PIECES OF CONTENT are shared on Facebook every month
  9. 9. Veracity Uncertainty of Data 1 IN 3 BUSINESS LEADERS don’t trust the information they use to make decisions ? 27% OF RESPONDENTS in one survey were unsure of how much of their data was inaccurate Poor data quality cost the U.S. economy around $3.1 TRILLION A YEAR
  10. 10. Velocity Analysis of Streaming Data The NewYork Stock Exchange captures 1 TB OF TRADE INFORMATION during each trading session By 2016, it is projected there will be 18.9 BILLION NETWORK CONNECTIONS - almost 2.5 connections per person on earth Modern cars have close to 100 SENSORS that monitor items such as fuel level and tire pressure
  11. 11. The amount of data generated on planet earth is growing exponentially 010101010101010101 101010101010101010 010101010101010101 101010101010101010 010101010101010101 101010101010101010
  12. 12. 0x 10x 20x 30x 40x 50x 2012 2013 2014 2015 2016 2017 2018 2019 2020 By 2020The total amount of stored data is expected to be... 50x
 larger than today In 2014 the amount of information stored worldwide exceeded 5 ZetaBytes *Zettabyte = 35,000,000,000,000,000,000,000 bytes
  13. 13. Tokyo San Francisco By 2016 The cumulative size of all the worlds data centre is expected to exceed... 16,000acres Equivalent in area to a two lane highway stretching 
 fromTokyo to San Francisco. 5,000miles
  14. 14. What fuels BIG DATA
  15. 15. Social Media Telemedicine & Health Care Security & Surveillance M2M and Wireless Sensor Network Smart Homes & Cities Embedded Mobile Agriculture Automation Vehicle, Person, & Pet
 Monitoring & Controlling Building Management Everyday Things Satellite/GPS Internet
  16. 16. The Internet of Things (IoT) is the third revolution in mass internet connectivity, it is currently where the World Wide Web was in 1994 The Internet of Things (IoT), which excludes PCs, tablets and smartphones, will grow to 26 billion units installed in 2020 representing an almost 30-fold increase from 0.9 billion in 2009, according to Gartner
  17. 17. NEXT WAVE INTERNET OF EVERYTHING “Fixed” Computing (You go to device) Mobility / BYOD (The device goes with you) Internet of Things (Age of devices) Internet of Everything (People, Process, Data,Things) Doubled every 1.3 years 200M 1994 Doubled every 1.34 years Doubled every (?) years 10B 50B 2000 2012 2020
  18. 18. How much of the vast amounts of data do we analyse ?
  19. 19. 0.5%
  20. 20. 1.0 Traditional Analytics 2.0 Big Data 3.0 Fast Business Impact 
 for the Data Company Big Data and Analytics Gartner predicts that analytics 3.0 (Smart Analytics) will create 4.4 million jobs by 2015. Only 30% can be filled in a $2.12 billion global analytics industry.
  21. 21. ! Product Recommendations ! Fraud Detection ! “Custom Audiences” for Targeted Ads ! “People You May Know” ! Search Algorithms Big Data and Analytics The Pioneers
  22. 22. Big Data and Analytics “Things that spin” How GE adopted a big data approach: $2B initiative in software and analytics Primary focus on data-based products and services 
 from “Things that spin” Will reshape service agreements for locomotives, 
 jet engines, and turbines Gas blade monitoring in turbines produces 
 588 gigabytes/day — 7 times Twitter daily volume
  23. 23. JOURNEY BIG DATA
  24. 24. 0M 60M 30M REAL ESTATE DATA 0M 30M 15M ON SHORE DATA 0M 40M 20M CLINICAL TRIAL DATA 0M 20M 10M ENERGY AND ENVIRONMENTAL DATA 0B 10B 5B ENVIRONMENTAL RISK MANAGEMENT DATA 0M 20M 10M THE FUTURE OF LEARNING Billion’s transactions month Unlike traditional BPO operations we have always focused on Processing of Data
  25. 25. 1,507 ENVIRONMENTAL DATABASES
  26. 26. DATA PROCESSINGSource Extract ETL TOOLS DATA PROCESSING Transform Load QA GeoCode DeliverConsume
  27. 27. TECHNOLOGIES
  28. 28. ARCHITECTURE OVERVIEW CUSTOMER LOAD BALANCER CLOUD WEB SERVERS NODE.JS SERVERS ArcGIS SERVERS ArcGIS DATABASE SOLR SERVERS BIG DATA RDMS REPORT SERVERS ETL SERVERS
  29. 29. BY THE NUMBERS BIG DATA
  30. 30. WITH OVER 70 DATA ANALYSTS WORKING 24/6 OVER 30 TECHNOLOGY & BUSINESS PROFESSIONALS ON A TWO YEAR MISSION TO REDEFINE HOW ENVIRONMENTAL DATA IS DELIVERED
  31. 31. OVER 70TB 
 of MAPS OVER 45 
 MAP LAYERS ! WITH TABLES > Files contain > 1Billion attributes multiplied by 50 states in US OVER 1,507SOURCE DATABASES 64GB DATA THROUGHPUT AS HIGH AS 10MB DATA PER SECOND.
  32. 32. APPLICATIONS BIG DATA
  33. 33. Sustainability WORKBENCH FirstCarbon Solutions
  34. 34. Sustainability WORKBENCH FirstCarbon Solutions
  35. 35. Summary • Understand the data and how to process it before you venture into Big Data • Be prepared to invest in a large learning curve in big data technologies • Understand how scalable technologies you choose are (i.e. vertically scalable vs. horizontally and vertically scalable) • Consider using 3rd party providers such as LucidWorks and Cloudera • Spend time understanding the best NOSQL technologies that match your data requirements (Document Database, Graph Database, Object Database, Key-Value Store, Big Tables) • Big Data is a very expensive journey so plan carefully • When you are about to give up you may be closer than you think
  36. 36. ! Thank you!

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