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Building a Big Data Maturity Model
Samudra Kanankearachchi

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Big Data Conference India

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Hype of Big Data is around Quantity

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Semantic Web (POC)

Travel
Planner

MSc Project

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Why Big Data is Not Popular yet in Sri
Lanka?

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Does Sri Lanka have a real big data
business case ?

How big are we in global?

Is Sri Lanka is too Small ?

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Only focus on Volume , Velocity
Variety

Is it Enough?

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Let’s take real life example

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Impact of unplanned growth

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Shared (Water , Food , Land , Energy …)

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Quality of Life

Lack of
Infrastructure for
growth

Population Growth

Infrastructure not mature for
sustainable growth
Moral of the Story

Qualitative Quantity
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Why our tourism is a right match ?

Quality

Quantity
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Many government initiative

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State of Software/IT Eco System

Mostly Surrounded
with silos

Lack of
personalization.

Lack of Timely information.

Unable to convert
information into Action

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We need a maturity model

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Maturity Model
Level 5
Level 4
Level 3
Level 2
Level 1

Optimizing

If cannot scale and optimize

Intelligent/insight

If not intelligent

Social Interaction

If they can’t Socialize

Semantic Connectivity
Basic Enterprise
(Volume/Variety/Velocity )

Core Infrastructure ( Storage / Compute/ Internets)

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If they can’t express
Big Data in Silos
Maturity Level 1 (Current State)
5. Optimizing
4. Intelligent insight
3. Social Interaction
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)

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Basic system

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Business Silos

Flying /Shipping
providers

Bus Providers

Agencies

Hotels
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Entertainment Providers

Travelers
Enterprise Silos

Cinnamon group

Amaya Group

Chaya Group
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Impact of Silos
As a traveler I wanted to find travel information
to plan a trip to Sri Lanka

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Approach 1

Traveler

Travel Agency

Impact : [Lot of manual work for integration]
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Approach 2

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It is a web of documents

Impact : [Lot more manual work to find details]
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Maturity Level 2
5.
Optimizing
4. Intelligent
insight
3. Social
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)

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Web of Things

Night Clubs

Hotels
Travel Agency

Travelers

Sites

Taxi
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Web of People , Places , Things

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Developing semantic graph

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Basic Ontology Sample

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Querying the Ontology
• Places near by “Hambanthota” ?
• Places that are famous for wild life ?

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Facebook Graph Search

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Places in Kandy

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Openness- Standards

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Linking Ontologies Together
Linked Ontology/ Linked Data

XYZ Hotel
Ontology

ABC Travel
Agency

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PQR Taxi Service
Ontology
Now I can query Complete travel plan
•
•
•
•

How to travel ?
Where to Stay ?
Food to eat ?
Options to Enjoy ?

Linked Ontology/ Linked Data

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Maturity Level 3
5.
Optimizing
4. Intelligent
insight
3. Social
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)

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Adding Social Layer
Identity

Collaboration

Social Layer (Sharing / Ranking /Tagging…)
Linked Ontology/ Linked Data

XYZ Hotel
Ontology

ABC Travel
Agency

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PQR Taxi
Service
Ontology
Example

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Maturity Level 4
Optimizing
4. Intelligent
insight
3. Social
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)

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Insights
5.
Optimizing
4. Intelligent
insight
3
2

1. Basic Enterprise
(Volume/Variety/Velocity )

What can you offer with out level 2, Level 3 ?
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Insight
• Insight what you users wants
• Your Ontologies has insight what the system
can offer
• Integrating Internet of Things
• Analytics

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Maturity Level 5
Optimizing
4. Intelligent
insight
3. Social
2. Semantic Connectivity
1. Basic Enterprise
(Volume/Variety/Velocity )
Core Infrastructure ( Storage / Compute/ Internets)

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Apache Jena (Middleware)

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Scaling and Tooling
• https://jena.apache.org/
• Microsoft.Net Port
– http://www.linkeddatatools.com/downloads/jena
-net

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Facebook Open Graph (Alternative)

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Future (Apps , IOT, API)

Users

Devices

Apps

Management. Access. Protection.

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Data
Developing a Market Place

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Your Contact
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Unicom Big Data Conference

Editor's Notes

  • #2: About me Software Architect at 99X Technology
  • #3: Last year big conference like you Unlike here CXO to 3 wheeler driver They talk big data and applications Impressed by how Indian big data technology usage is matured Many use cases on Health SectorBankingMostly they were talking about V VV
  • #5: SubjectModule POC on Technology StackTravel Planner application
  • #9: Lets take real life example
  • #10: Growth is not always positive
  • #11: Share Basic infrastructure
  • #12: Quntitiv
  • #13: Huge Potential to grow -> Will generate big data Why not consider Quality aspect as well
  • #14: Bring more touristBetter hotels Attractivetoris sites
  • #15: If we are not pro
  • #17: Concept is like this
  • #20: Many businesses In IsolationNot connected
  • #21: Business say the services they offer Very structured integration
  • #47: GovernanceApps Market model