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Democratizing
 BIG DATA
        Jeff Kelly
 Big Data Analyst, Wikibon
    wikibon.org/bigdata
Big Questions About
       BIG DATA
 What is New about BIG DATA?
 Why is BIG DATA Important?
 Why aren’t More Enterprises
 Practicing BIG DATA?
 What Will it Take to Spur
 Adoption and Democratize BIG DATA ?
Massive Data Growth




What is New about Big Data?
Desire to Transform
       Data    Knowledge




What is New about Big Data?
What’s the BIG
                  Problem?

                       VOLUME
                         TYPE
                        SPEED
            BIG DATA
What is New about Big Data?
What is NEW …
       Technology to Process,
          Store & Analyze

                      BIG DATA
     In a TIME-EFFICIENT and
        COST-EFFECTIVE Way
What is New about Big Data?
New Approaches to
                BIG DATA

   Hadoop is an open
   source framework
   for processing,
   storing and
   analyzing massive
   amounts of
   distributed, multi-
   structured data.



What is New about Big Data?
New Approaches to
                BIG DATA
                              Next Generation Data
                              Warehouses use
                              massively parallel
                              processing, columnar
                              architectures and data
                              compression to analyze
                              not-quite-so-massive
                              data in close to real-
                              time.




What is New about Big Data?
New Approaches to
                BIG DATA
   Multiple flavors of NoSQL
   [Not Only SQL] Databases
   emerging to support specific
   types of Multi-Structured
   Data and Real-Time Web
   Applications.




What is New about Big Data?
New Approaches to                BIG DATA
               Are …

   Complimentary
   NOT Competitive




                              Right Tool, Right Job

What is New about Big Data?
The Result?
   Enterprises Now Have The
    Technologies Needed to
             Turn
                       BIG DATA
     Into Actionable, Timely
            Insights.
What is New about Big Data?
So Why is BIG DATA Important?
          Process and Analyze ALL Your Data

                        Ask NEW Questions

                       Ask MORE Questions

                        Get ANSWERSFASTER

                      Get CLEARER Insight


    MAKE BETTER BUSINESS
          DECISIONS
Why is Big Data Important?
BIG DATA
   THE New, DEFINITIVE Source
    of COMPETITIVE ADVANTAGE
    Across ALL Industries.*
                             * Wikibon Big Data Manifesto, 2011




Why is Big Data Important?
BIG DATA In Action




Why is Big Data Important?
But … BIG DATA
            Adoption is Slow
   BIG DATA Technologies Difficult to
   Deploy, Manage and Use

                  Dearth of Skilled BIG DATA
           Practitioners and Data Scientists


   Enterprises Lack Right                          MINDSET   to
   Exploit BIG DATA


Why aren’t More Enterprises Practicing Big Data?
What Will It Take to …
                   DEMOCRATIZE



                          BIG DATA?
How Will We Democratize Big Data?
Democratizing BIG DATA
   NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY


   DEPLOY                                        ANALYZE

ADMINISTER                                      VISUALIZE

   SECURE                                        AUTOMATE


                                    INTEGRATE

                                    PROCESS
                                    MANAGE
How Will We Democratize Big Data?
Democratizing BIG DATA

NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY
Democratizing BIG DATA

   NEEDED: BIG DATA TRAINING AND EDUCATION

   BIG DATA
   INFRASTRUCTURE                       DATA SCIENCE



     ADVANCED                       BIG DATA PROCESSING &
     PREDICTIVE                               INTEGRATION
     ANALYTICS



How Will We Democratize Big Data?
Democratizing BIG DATA
NEEDED: BIG DATA TRAINING AND EDUCATION
Democratizing BIG DATA
NEEDED: A CHANGE OF MINDSET
Democratizing BIG DATA
NEEDED: A CHANGE OF MINDSET
  EXPERIMENTATION
      IMAGINATION                                Rinse
           COLLABORATION
               COMMUNICATION
                                                   &
                    WILLINGNESS TO FAIL         Repeat
                         PERSEVERENCE
                              STORYTELLING
                                    TRUST
                                      ACTION
                                     DATA-DRIVEN ENTERPRISE
How Will We Democratize Big Data?
THANK YOU
  Democratizing
   BIG DATA
      Jeff Kelly
   Big Data Analyst
        Wikibon

jeff.kelly@wikibon.com
    @jeffreyfkelly
 wikibon.org/bigdata

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Democratizing Big Data

  • 1. Democratizing BIG DATA Jeff Kelly Big Data Analyst, Wikibon wikibon.org/bigdata
  • 2. Big Questions About BIG DATA  What is New about BIG DATA?  Why is BIG DATA Important?  Why aren’t More Enterprises Practicing BIG DATA?  What Will it Take to Spur Adoption and Democratize BIG DATA ?
  • 3. Massive Data Growth What is New about Big Data?
  • 4. Desire to Transform Data Knowledge What is New about Big Data?
  • 5. What’s the BIG Problem? VOLUME TYPE SPEED BIG DATA What is New about Big Data?
  • 6. What is NEW … Technology to Process, Store & Analyze BIG DATA In a TIME-EFFICIENT and COST-EFFECTIVE Way What is New about Big Data?
  • 7. New Approaches to BIG DATA Hadoop is an open source framework for processing, storing and analyzing massive amounts of distributed, multi- structured data. What is New about Big Data?
  • 8. New Approaches to BIG DATA Next Generation Data Warehouses use massively parallel processing, columnar architectures and data compression to analyze not-quite-so-massive data in close to real- time. What is New about Big Data?
  • 9. New Approaches to BIG DATA Multiple flavors of NoSQL [Not Only SQL] Databases emerging to support specific types of Multi-Structured Data and Real-Time Web Applications. What is New about Big Data?
  • 10. New Approaches to BIG DATA Are … Complimentary NOT Competitive Right Tool, Right Job What is New about Big Data?
  • 11. The Result? Enterprises Now Have The Technologies Needed to Turn BIG DATA Into Actionable, Timely Insights. What is New about Big Data?
  • 12. So Why is BIG DATA Important? Process and Analyze ALL Your Data Ask NEW Questions Ask MORE Questions Get ANSWERSFASTER Get CLEARER Insight MAKE BETTER BUSINESS DECISIONS Why is Big Data Important?
  • 13. BIG DATA THE New, DEFINITIVE Source of COMPETITIVE ADVANTAGE Across ALL Industries.* * Wikibon Big Data Manifesto, 2011 Why is Big Data Important?
  • 14. BIG DATA In Action Why is Big Data Important?
  • 15. But … BIG DATA Adoption is Slow BIG DATA Technologies Difficult to Deploy, Manage and Use Dearth of Skilled BIG DATA Practitioners and Data Scientists Enterprises Lack Right MINDSET to Exploit BIG DATA Why aren’t More Enterprises Practicing Big Data?
  • 16. What Will It Take to … DEMOCRATIZE BIG DATA? How Will We Democratize Big Data?
  • 17. Democratizing BIG DATA NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY DEPLOY ANALYZE ADMINISTER VISUALIZE SECURE AUTOMATE INTEGRATE PROCESS MANAGE How Will We Democratize Big Data?
  • 18. Democratizing BIG DATA NEEDED: TOOLS TO ABSTRACT AWAY COMPLEXITY
  • 19. Democratizing BIG DATA NEEDED: BIG DATA TRAINING AND EDUCATION BIG DATA INFRASTRUCTURE DATA SCIENCE ADVANCED BIG DATA PROCESSING & PREDICTIVE INTEGRATION ANALYTICS How Will We Democratize Big Data?
  • 20. Democratizing BIG DATA NEEDED: BIG DATA TRAINING AND EDUCATION
  • 21. Democratizing BIG DATA NEEDED: A CHANGE OF MINDSET
  • 22. Democratizing BIG DATA NEEDED: A CHANGE OF MINDSET EXPERIMENTATION IMAGINATION Rinse COLLABORATION COMMUNICATION & WILLINGNESS TO FAIL Repeat PERSEVERENCE STORYTELLING TRUST ACTION DATA-DRIVEN ENTERPRISE How Will We Democratize Big Data?
  • 23. THANK YOU Democratizing BIG DATA Jeff Kelly Big Data Analyst Wikibon jeff.kelly@wikibon.com @jeffreyfkelly wikibon.org/bigdata

Notes de l'éditeur

  1. Dawn of record keeping, data volumes have been increasing.In the more recent path, pharmaceutical, telecomm and other industries dealing with data growth before the term Big Data arose.
  2. People been trying to turn data to knowledge since ancient times, 7500 BC when Mesopotamians created the first accounting system.Again, looking to more recent times, in the 1980s and 1990s decision management and business intelligence software arose. Largely failed.
  3. Volume is increasing, but more importantly the types of data – multistructured data – are expanding and being created at greater speeds than ever before, the need to make sense of the data in near real time to maximize value is greater than ever before. Confluence of three trends.
  4. We now have the tech to deal with it. Not impossible before, but impractical due to time or money constraints.
  5. QuickHadoop history.
  6. Quick MPP data warehouse history (commodity hardware, data compression, columnar arcitectures)
  7. Quick overview of NoSQLDBs.
  8. Iterate.
  9. Examples – Sears for dynamic pricing, CIA to understand terrorist chatter, Netflix to determine which movies to recommend, BoA to detect fraud in real time, Philips healthcare to understand outcomes, research the genome.
  10. McKinsey 140,000 – 190,000 data scentists needed 2018.