SlideShare uma empresa Scribd logo
1 de 18
Much Data
Dispersing into the Cloud


                       Jurgen van der Vlugt
     SecureAmsterdam at Cisco, Sept 11 2012
Introduction




• Jurgen = Ir.drs. J. van der Vlugt RE CISA CRISC
• Maverisk Consultancy, IS Audit and Advisory services
• (IS) Audit, (Info)Security, BCM, ERM/ORM
• 17 years at KPMG, ABN AMRO Bank, Noordbeek, Achmea, ABN AMRO
• ISSA, NOREA: Various prof development/practices committees
The big picture


        Processing → … managing this …!? → √
                     Much Data, perfected?

‘Cloud’ Storage          Much Data vs. storage
                     Data Quality / Info Quality

        Networking → √
        (Thanks,    )
Much Data

• Zetta, yotta, kibi, mebi, gibi, tebi, pebi, exbi, pebi, yobi
• Social Media        → Who owns that data / privacy
• Company data → Do you know
                        • What is yours,
                        • Where it is,
                        • What the value is, etc
• No you don’t.
  [See Eric Nieuwland’s pres earlier]
Hegel and Derrida aside

• Hegel: Reason will completely merge with the Universe

• Derrida: Fuggeddaboudit. The material representation of language
  is unattached to Meaning (which is individual)

• Conclusion: We will get lost

• Corrolary: We will need I-T to help us

• Which leads to / is Singularity
• Infeasibility to the rescue (?): Infinite meta-loop

• Kyoto School: The river doesn’t make any noise
  → Data is needed to have information
Storage, anyone ..?
Storage limits
• Impossible to keep up; gap widening

   • Hoping for production crash
   • ‘Storage’ vs. ephemeral data

• Facebook (doesn’t) knows
  what you did twenty summers ago
   • Phew! Reputation restauration possible (?)
   • Trust through reputation !?

• When cloud providers run out of secondary provisioning
Data quality. IQ …?




                                            Every step
                                            up will be   Wisdom
                                            harder to    Insight
                                            ‘control’
                                                          Intelligence
                                                           Knowledge
                    The more data, the less Info             Info
Debatable whether
we have any clue
about how to do
those things
                              Much Data
More data less control
Into the Cloud

• Dump it there
• Fogging up
  • The location
  • The existence
  • The blame
    (ownership / actions)
• Same: ‘Outsourcing’
So,
    Some data is somewhere out there
•   Privacy
•   Social Media; production and privacy
•   Value (Data/Information/ …)
•   MIS Is A Mirage ( J. Dearden, HBR 1972 ..!)

• A manager with a tool, is still a …
• Nevertheless: Just do it™
Summarising the big picture

        Processing → … managing this …!? → √
                        Much Data, perfected?

‘Cloud’ Storage           Much Data vs. storage
                       Data Quality / Info Quality

        Networking → √
        (Thanks,    )


               Confidentiality → Least of your problems (?)
             Integrity → Lack of controls…
            Availability → Dream of Nightmare
CIA / CYA
Confidentiality:
  • Know your data (which, where)
  • Protect ‘your’ data (privacy; data-bound crypto)
Integrity:
  • Know your data (architecture, various levels)
  • Control integrity (various levels)
Availability:
  • Transparent → transitive! Arrangements
  • Double, triple, … availability (storage req’s ..?)
Conclusion:
It can be done …

…   but through complexity,
    difficulty will grow
…   and we don’t have enough clue yet


                              √
That’s it for me




         √
Thank you
Managing Much Data in the Cloud

Mais conteúdo relacionado

Semelhante a Managing Much Data in the Cloud

EDF2013: Invited Talk Daragh O'Brien: The Story of Maturity – How data in Bus...
EDF2013: Invited Talk Daragh O'Brien: The Story of Maturity – How data in Bus...EDF2013: Invited Talk Daragh O'Brien: The Story of Maturity – How data in Bus...
EDF2013: Invited Talk Daragh O'Brien: The Story of Maturity – How data in Bus...European Data Forum
 
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Big Data [sorry] & Data Science: What Does a Data Scientist Do?Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Big Data [sorry] & Data Science: What Does a Data Scientist Do?Data Science London
 
Top 10 Benefits of Digital Literacy
Top 10 Benefits of Digital LiteracyTop 10 Benefits of Digital Literacy
Top 10 Benefits of Digital Literacywebpercent
 
Data Driven Storytelling
Data Driven StorytellingData Driven Storytelling
Data Driven StorytellingNathan Gasser
 
Collecting Geographical Metadata
Collecting Geographical MetadataCollecting Geographical Metadata
Collecting Geographical MetadataIWMW
 
Digital, Grumpy Cat and social media update 2013
Digital, Grumpy Cat and social media update 2013Digital, Grumpy Cat and social media update 2013
Digital, Grumpy Cat and social media update 2013Steven Bradley
 
Unexperienced pasts
Unexperienced pastsUnexperienced pasts
Unexperienced pastsBuhwan Jeong
 
Harvesting The Web With Cloud Computing
Harvesting The Web With Cloud ComputingHarvesting The Web With Cloud Computing
Harvesting The Web With Cloud ComputingKing Huang
 
Visualizing Data Effectively
Visualizing Data EffectivelyVisualizing Data Effectively
Visualizing Data EffectivelyJon Hirst
 
Designing intelligent social systems 121205
Designing intelligent social systems 121205Designing intelligent social systems 121205
Designing intelligent social systems 121205Ramesh Jain
 
Sql saturday denmark power bi for pdf
Sql saturday denmark power bi for pdfSql saturday denmark power bi for pdf
Sql saturday denmark power bi for pdfJen Stirrup
 
Odrl prez schull
Odrl prez schullOdrl prez schull
Odrl prez schullJon Schull
 
Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014
Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014
Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014StampedeCon
 
Recent developments in data analytics and big data
Recent developments in data analytics and big dataRecent developments in data analytics and big data
Recent developments in data analytics and big dataDez Blanchfield
 
How Information Visualization Aids Cognition
How Information Visualization Aids CognitionHow Information Visualization Aids Cognition
How Information Visualization Aids CognitionSarah Jane Hong
 
Making sense of data-driven architecture
Making sense of data-driven architectureMaking sense of data-driven architecture
Making sense of data-driven architectureTetradian Consulting
 

Semelhante a Managing Much Data in the Cloud (20)

EDF2013: Invited Talk Daragh O'Brien: The Story of Maturity – How data in Bus...
EDF2013: Invited Talk Daragh O'Brien: The Story of Maturity – How data in Bus...EDF2013: Invited Talk Daragh O'Brien: The Story of Maturity – How data in Bus...
EDF2013: Invited Talk Daragh O'Brien: The Story of Maturity – How data in Bus...
 
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Big Data [sorry] & Data Science: What Does a Data Scientist Do?Big Data [sorry] & Data Science: What Does a Data Scientist Do?
Big Data [sorry] & Data Science: What Does a Data Scientist Do?
 
Top 10 Benefits of Digital Literacy
Top 10 Benefits of Digital LiteracyTop 10 Benefits of Digital Literacy
Top 10 Benefits of Digital Literacy
 
Data Driven Storytelling
Data Driven StorytellingData Driven Storytelling
Data Driven Storytelling
 
Collecting Geographical Metadata
Collecting Geographical MetadataCollecting Geographical Metadata
Collecting Geographical Metadata
 
Digital, Grumpy Cat and social media update 2013
Digital, Grumpy Cat and social media update 2013Digital, Grumpy Cat and social media update 2013
Digital, Grumpy Cat and social media update 2013
 
Fundamentals of Cryptography
Fundamentals of CryptographyFundamentals of Cryptography
Fundamentals of Cryptography
 
Unexperienced pasts
Unexperienced pastsUnexperienced pasts
Unexperienced pasts
 
Harvesting The Web With Cloud Computing
Harvesting The Web With Cloud ComputingHarvesting The Web With Cloud Computing
Harvesting The Web With Cloud Computing
 
Visualizing Data Effectively
Visualizing Data EffectivelyVisualizing Data Effectively
Visualizing Data Effectively
 
Carl idigpres
Carl idigpresCarl idigpres
Carl idigpres
 
CARLIdigpres
CARLIdigpresCARLIdigpres
CARLIdigpres
 
Designing intelligent social systems 121205
Designing intelligent social systems 121205Designing intelligent social systems 121205
Designing intelligent social systems 121205
 
Sql saturday denmark power bi for pdf
Sql saturday denmark power bi for pdfSql saturday denmark power bi for pdf
Sql saturday denmark power bi for pdf
 
Odrl prez schull
Odrl prez schullOdrl prez schull
Odrl prez schull
 
Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014
Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014
Big Data Past, Present and Future – Where are we Headed? - StampedeCon 2014
 
Grc t18
Grc t18Grc t18
Grc t18
 
Recent developments in data analytics and big data
Recent developments in data analytics and big dataRecent developments in data analytics and big data
Recent developments in data analytics and big data
 
How Information Visualization Aids Cognition
How Information Visualization Aids CognitionHow Information Visualization Aids Cognition
How Information Visualization Aids Cognition
 
Making sense of data-driven architecture
Making sense of data-driven architectureMaking sense of data-driven architecture
Making sense of data-driven architecture
 

Mais de Jurgen van der Vlugt

ACAM-VDA NOREA Adviesdiensten 21 juni 2012
ACAM-VDA NOREA Adviesdiensten 21 juni 2012ACAM-VDA NOREA Adviesdiensten 21 juni 2012
ACAM-VDA NOREA Adviesdiensten 21 juni 2012Jurgen van der Vlugt
 
Adviesdiensten Norea Regio Noord 2012 05 10
Adviesdiensten Norea Regio Noord 2012 05 10Adviesdiensten Norea Regio Noord 2012 05 10
Adviesdiensten Norea Regio Noord 2012 05 10Jurgen van der Vlugt
 
Van Plank Misslaan Naar Spijker Op De Kop V0.3
Van Plank Misslaan Naar Spijker Op De Kop V0.3Van Plank Misslaan Naar Spijker Op De Kop V0.3
Van Plank Misslaan Naar Spijker Op De Kop V0.3Jurgen van der Vlugt
 
Advies Assurance September 2011 V0.97
Advies Assurance September 2011 V0.97Advies Assurance September 2011 V0.97
Advies Assurance September 2011 V0.97Jurgen van der Vlugt
 
NGI Regio Rdam / Afd IT-A: Stuxnet - Beveiliging en Audit van Proces IT
NGI Regio Rdam / Afd IT-A: Stuxnet - Beveiliging en Audit van Proces ITNGI Regio Rdam / Afd IT-A: Stuxnet - Beveiliging en Audit van Proces IT
NGI Regio Rdam / Afd IT-A: Stuxnet - Beveiliging en Audit van Proces ITJurgen van der Vlugt
 
VU Information Risk Management Security Management 2010 JvdV
VU Information Risk Management  Security Management 2010 JvdVVU Information Risk Management  Security Management 2010 JvdV
VU Information Risk Management Security Management 2010 JvdVJurgen van der Vlugt
 
VU Uitvoering van de audit 28 mei 2010
VU Uitvoering van de audit 28 mei 2010VU Uitvoering van de audit 28 mei 2010
VU Uitvoering van de audit 28 mei 2010Jurgen van der Vlugt
 
Saxion Enschedé College Security 2009
Saxion Enschedé College Security 2009Saxion Enschedé College Security 2009
Saxion Enschedé College Security 2009Jurgen van der Vlugt
 
NOREA Update congres 2007 incl notes
NOREA Update congres 2007 incl notesNOREA Update congres 2007 incl notes
NOREA Update congres 2007 incl notesJurgen van der Vlugt
 
NOREA Regiosessie Reglementen 2010
NOREA Regiosessie Reglementen 2010NOREA Regiosessie Reglementen 2010
NOREA Regiosessie Reglementen 2010Jurgen van der Vlugt
 
Saxion Enschedé College Security 2010
Saxion Enschedé College Security 2010Saxion Enschedé College Security 2010
Saxion Enschedé College Security 2010Jurgen van der Vlugt
 

Mais de Jurgen van der Vlugt (14)

ACAM-VDA NOREA Adviesdiensten 21 juni 2012
ACAM-VDA NOREA Adviesdiensten 21 juni 2012ACAM-VDA NOREA Adviesdiensten 21 juni 2012
ACAM-VDA NOREA Adviesdiensten 21 juni 2012
 
ISSA ORM 2012 June 20 v0.3
ISSA ORM 2012 June 20 v0.3ISSA ORM 2012 June 20 v0.3
ISSA ORM 2012 June 20 v0.3
 
Adviesdiensten Norea Regio Noord 2012 05 10
Adviesdiensten Norea Regio Noord 2012 05 10Adviesdiensten Norea Regio Noord 2012 05 10
Adviesdiensten Norea Regio Noord 2012 05 10
 
Van Plank Misslaan Naar Spijker Op De Kop V0.3
Van Plank Misslaan Naar Spijker Op De Kop V0.3Van Plank Misslaan Naar Spijker Op De Kop V0.3
Van Plank Misslaan Naar Spijker Op De Kop V0.3
 
Down the Blind Alley (PDF)
Down the Blind Alley (PDF)Down the Blind Alley (PDF)
Down the Blind Alley (PDF)
 
Advies Assurance September 2011 V0.97
Advies Assurance September 2011 V0.97Advies Assurance September 2011 V0.97
Advies Assurance September 2011 V0.97
 
NGI Regio Rdam / Afd IT-A: Stuxnet - Beveiliging en Audit van Proces IT
NGI Regio Rdam / Afd IT-A: Stuxnet - Beveiliging en Audit van Proces ITNGI Regio Rdam / Afd IT-A: Stuxnet - Beveiliging en Audit van Proces IT
NGI Regio Rdam / Afd IT-A: Stuxnet - Beveiliging en Audit van Proces IT
 
VU Information Risk Management Security Management 2010 JvdV
VU Information Risk Management  Security Management 2010 JvdVVU Information Risk Management  Security Management 2010 JvdV
VU Information Risk Management Security Management 2010 JvdV
 
VU Uitvoering van de audit 28 mei 2010
VU Uitvoering van de audit 28 mei 2010VU Uitvoering van de audit 28 mei 2010
VU Uitvoering van de audit 28 mei 2010
 
Saxion Enschedé College Security 2009
Saxion Enschedé College Security 2009Saxion Enschedé College Security 2009
Saxion Enschedé College Security 2009
 
NOREA Update congres 2007 incl notes
NOREA Update congres 2007 incl notesNOREA Update congres 2007 incl notes
NOREA Update congres 2007 incl notes
 
NOREA ALV Symposium Advies 2010
NOREA ALV Symposium Advies 2010NOREA ALV Symposium Advies 2010
NOREA ALV Symposium Advies 2010
 
NOREA Regiosessie Reglementen 2010
NOREA Regiosessie Reglementen 2010NOREA Regiosessie Reglementen 2010
NOREA Regiosessie Reglementen 2010
 
Saxion Enschedé College Security 2010
Saxion Enschedé College Security 2010Saxion Enschedé College Security 2010
Saxion Enschedé College Security 2010
 

Managing Much Data in the Cloud

  • 1. Much Data Dispersing into the Cloud Jurgen van der Vlugt SecureAmsterdam at Cisco, Sept 11 2012
  • 2. Introduction • Jurgen = Ir.drs. J. van der Vlugt RE CISA CRISC • Maverisk Consultancy, IS Audit and Advisory services • (IS) Audit, (Info)Security, BCM, ERM/ORM • 17 years at KPMG, ABN AMRO Bank, Noordbeek, Achmea, ABN AMRO • ISSA, NOREA: Various prof development/practices committees
  • 3. The big picture Processing → … managing this …!? → √ Much Data, perfected? ‘Cloud’ Storage Much Data vs. storage Data Quality / Info Quality Networking → √ (Thanks, )
  • 4. Much Data • Zetta, yotta, kibi, mebi, gibi, tebi, pebi, exbi, pebi, yobi • Social Media → Who owns that data / privacy • Company data → Do you know • What is yours, • Where it is, • What the value is, etc • No you don’t. [See Eric Nieuwland’s pres earlier]
  • 5. Hegel and Derrida aside • Hegel: Reason will completely merge with the Universe • Derrida: Fuggeddaboudit. The material representation of language is unattached to Meaning (which is individual) • Conclusion: We will get lost • Corrolary: We will need I-T to help us • Which leads to / is Singularity • Infeasibility to the rescue (?): Infinite meta-loop • Kyoto School: The river doesn’t make any noise → Data is needed to have information
  • 7. Storage limits • Impossible to keep up; gap widening • Hoping for production crash • ‘Storage’ vs. ephemeral data • Facebook (doesn’t) knows what you did twenty summers ago • Phew! Reputation restauration possible (?) • Trust through reputation !? • When cloud providers run out of secondary provisioning
  • 8. Data quality. IQ …? Every step up will be Wisdom harder to Insight ‘control’ Intelligence Knowledge The more data, the less Info Info Debatable whether we have any clue about how to do those things Much Data
  • 9. More data less control
  • 10. Into the Cloud • Dump it there • Fogging up • The location • The existence • The blame (ownership / actions) • Same: ‘Outsourcing’
  • 11. So, Some data is somewhere out there • Privacy • Social Media; production and privacy • Value (Data/Information/ …) • MIS Is A Mirage ( J. Dearden, HBR 1972 ..!) • A manager with a tool, is still a … • Nevertheless: Just do it™
  • 12. Summarising the big picture Processing → … managing this …!? → √ Much Data, perfected? ‘Cloud’ Storage Much Data vs. storage Data Quality / Info Quality Networking → √ (Thanks, ) Confidentiality → Least of your problems (?) Integrity → Lack of controls… Availability → Dream of Nightmare
  • 13. CIA / CYA Confidentiality: • Know your data (which, where) • Protect ‘your’ data (privacy; data-bound crypto) Integrity: • Know your data (architecture, various levels) • Control integrity (various levels) Availability: • Transparent → transitive! Arrangements • Double, triple, … availability (storage req’s ..?)
  • 14. Conclusion: It can be done … … but through complexity, difficulty will grow … and we don’t have enough clue yet √
  • 15. That’s it for me √
  • 16.