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Big Data is Big Business How to Develop Big Data Competence Mario Bojilov Author - CCC Big Data Foundation Syllabus Chief Data Strategist - Meta Business Systems
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Big Data is Big Business: How to Develop Big Data Competence

Jan 13, 2017

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Page 2: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

Poll: Testing - can you hear us and see the slides?

A. Yes, I can hear you and see the slidesB. I can hear you, but not see the slides.C. I can see the slides, but not hear you.D. No, I cannot hear you or see the slides.

Page 3: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

Agenda> Introduction: Cloud Credential Council

Tristano VacondioMarketing ManagerCCC

> Living in the Cloud: Big Data Analytics and Enterprise Cloud Computing

Mario BojilovChief Data StrategistMeta Business Systems

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© Cloud Credential Council

Poll: What is your area of work?

A. IT training providerB. IT consultantC. IT training and consultingD. IT practitioner

Page 5: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

Poll: How much big data experience do you have?

A. Extensive experience (approx 6+ years)B. Some experience (approx 4-6 years)C. Intermediate (approx 1-3 years)D. Little (up to 1 year)E. None

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© Cloud Credential Council

Introduction

Page 7: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

The Cloud Credential Council

● Vendor Neutral● International● Non Profit

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CCC BackgroundProfessional Cloud Series

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CCC Background Con’t.

Page 10: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

Certification Scheme

Page 12: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

Big Data is Big BusinessHow to Develop Big Data Competence

Page 13: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

Big Data Right Now

80% of business data is

unstructured.

>75% of companies are investing in Big Data in the next two

years. - Gartner

Big Data Goals

Enhance Customer Experience

Streamline Processes

More Targeted Marketing

Reduce Costs

Enhance Security

Page 14: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

What is Big Data?

● Volume

● Variety

● Velocity

Page 15: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

How do Big Data and Cloud Relate?

Cloud

enables

Big Data.

Page 16: Big Data is Big Business: How to Develop Big Data Competence

© Cloud Credential Council

Stepping into Big Data

● Database skills● Maths skills● Statistics skills● Domain expertise

Page 17: Big Data is Big Business: How to Develop Big Data Competence

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Designing the Big Data Foundation Syllabus

● Big Data Fundamentals● Big Data Sources● Data Mining – Concepts and Tools● Big Data Technologies – Hadoop● Big Data Technologies – MongoDB

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© Cloud Credential Council

The Big Data Professional

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© Cloud Credential Council

Big Data is in Demand

33%Expected 5 year growth of

need for digital and analytics talent. - AT Kearney

Highlights● Increased demand for Big

Data-related skills.

● Hadoop skills sit amongst the most sought-after skills in Big Data-related openings.

● Only 8% of organizations are leaders in analytics...and their teams possess both technical and business skills.

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Advancing in Big Data

Where would your strengths in big data lie?● Database skills● Maths skills● Statistics skills● Domain expertise

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Potential Certification Paths for Administrators

- Develop specific technical expertise

- Take advanced best practice training

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Potential Certification Paths for Solutions Architects & Developers

Page 23: Big Data is Big Business: How to Develop Big Data Competence

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Potential Certification Paths for Data Analysts and Data Scientists

Page 24: Big Data is Big Business: How to Develop Big Data Competence

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Big Data Looking Forward

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© Cloud Credential Council

What’s Next?● Privacy Challenges

● Shortage of Skilled Staff

○ From Data Scientist to Architects and Data Management Experts (IDC)

● Increasingly companies will attempt to get more value from their data (Forrester)

● Data mining/Artificial Intelligence

○ DeepMind