Much Data 0.95
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Jurgen van der Vlugt discusses the complexities of managing large amounts of data in cloud environments, highlighting issues of data quality, ownership, and privacy. He emphasizes the increasing difficulty of maintaining data integrity and availability as the volume of data grows, ultimately questioning the true control we have over our information. The document concludes with a cautionary note about the need for improved understanding and management strategies in this evolving landscape.
![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]](https://image.slidesharecdn.com/muchdata095-13473466481806-phpapp01-120911020310-phpapp01/85/Much-Data-0-95-4-320.jpg)
Much Data 0.95
- 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 √
- 17. Thank you