2. Agenda
• What is Big Data
– Its prerequisites and technologies involved
• Who uses it and for what
– Business
– Surveilance
– Research
• What are its consequences
– For the individual
– For society
– What can be done
3. What is Big Data
Bachelor project 2002
«Transformasjonsalgoritmer for multidimensjonelle databaser»
Moores law
The Internet
Virtualization and Utility Computing
Transfer of services and data from local instances to
centralized services («The Cloud»)
• The internet of things
•
•
•
•
= Vast amounts of data being stored in perpetuity
4. What is Big Data
• Software and algoriths to «find interresting
things»
– Transformational algorithms
– Live analysis tools
– Voice, face and text recognition
– Data mining
• EULA / Terms of Service
– «...By using this service you agree to...»
–
South Park mocking Apple (Low).mp4
5. What is Big Data?
Dataminimization
– Data being used only for its intended purpose
Datamaximisation
– Data being used for as many purposes as possible
The essence of Big Data is data being used for
purposes beyond what it was gathered for
6. Who uses it and for what
• Requires expensive infrastructure and access
to data
• Business
• Intelligence / Law enforcement
• Research institution
7. Business
• IT service companies
– Selling targeted ads, personal info, personalizatoin
• Insurance companies
– Calculating risk, determining insurance rates
• Banks and financial services
– Stock robots, financial trends, fraud detection
• Infrastructure improvement
– Roads, comm networks, oil & gas
9. NSA - Bluffdale in Utah
Reported to be capable of storing Yottabytes
1,000 gigabytes is a terabyte.
1,000 terabytes is a petabyte.
1,000 petabytes is an exabyte.
1,000 exabytes is a zettabyte.
1,000 zettabytes is a yottabyte.
= 166 terabytes of storage per human being on the planet!