6. Big Data Central Theorem
Data+Technology Actionable Insight $$
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7. Big Data Buzz
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Between now and 2015, the firm expects big data to
create some 4.4 million IT jobs globally; of those,
1.9 million will be in the U.S. Applying an economic
multiplier to that estimate, Gartner expects each new
big-data-related IT job to create work for three more
people outside the tech industry, for a total of almost
6 million more U.S. jobs.
Growth in the Asia Pacific Big Data
market is expected to accelerate rapidly
in two to three years time, from a mere
US$258.5 million last year to in excess
of $1.76 billion in 2016, with highest
growth in the storage segment.
8. Big Data as a New Class of Asset
• The Age of Big Data (NYTimes Feb. 11, 2012)
http://www.nytimes.com/2012/02/12/sunday-review/big-datas-impact-in-the-
world.html
“Welcome to the Age of Big Data. The new megarich of Silicon Valley, first at
Google and now Facebook, are masters at harnessing the data of the Web
— online searches, posts and messages — with Internet advertising. At the
World Economic Forum last month in Davos, Switzerland, Big Data was a
marquee topic. A report by the forum, “Big Data, Big Impact,” declared data
a new class of economic asset, like currency or gold.”
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10. The 3-Vs of Big Data
• Volume
– Amount of data
• Velocity
– speed of data in and out
• Variety
– range of data types and sources
• [Gartner 2012] "Big Data are high-volume, high-velocity, and/or high-
variety information assets that require new forms of processing to
enable enhanced decision making, insight discovery and process
optimization" 10
12. 10 ways big data changes everything
• Some concrete examples
– http://gigaom.com/2012/03/11/10-ways-big-data-is-changing-everything/2/
1. Can gigabytes predict the next Lady Gaga?
2. How big data can curb the world’s energy consumption
3. Big data is now your company’s virtual assistant
4. The future of Foursquare is data-fueled recommendations
5. How Twitter data-tracked cholera in Haiti
6. Revolutionizing Web publishing with big data
7. Can cell phone data cure society’s ills?
8. How data can help predict and create video hits
9. The new face of data visualization
10. One hospital’s embrace of big data
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13. Typical Big Data Success Story
• Modeling users through Big Data
– Online ads sale / placement [e.g., Facebook]
– Personalized Coupons [e.g., Target]
– Product Placement [Walmart]
– Content Generation [e.g., NetFlix]
– Personalized learning [e.g., Duolingo]
– HR Recruiting [e.g., Gild]
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17. Leading the Pack of Wolves: Hadoop
• Google: Map/Reduce paper published 2004
• Open source variant: Hadoop
• Map-reduce = high-level programming model and
implementation for large-scale parallel data processing
• Right now most overhyped system in CS
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18. What about Swiss Big Data?
• Competitive Research Groups
• Swiss Big Data User Group
• Swiss companies playing catch-up
– Productized Big Data systems at leading telcos & financial
companies
– Big Data is not a new technology: it's a fact;
• Deal with it POCs in most banks, insurance companies, retailers
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19. Tasty Bites of Big Data (1)
Thursday afternoon
• 13:30-15:00: Big Data Profiling
Felix Naumann (Hasso Plattner Institute)
• 15:15-16:45: Realtime Analytics
Christoph Koch (EPFL)
• 16:45-17:45: Current Trends and Challenges in Big Data
Benchmarking
Kais Sachs (SAP / Spec)
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20. Tasty Bites of Big Data (2)
Friday
• 9:00 - 10:30: Structured Data in Web Search
Alon Halevy (Google)
• 10:45 - 12:15: Human Computation for Big Data
Gianluca Demartini (UNIFR)
• 13:30-15:00: Analysing and Querying Big Scientific Data
Thomas Heinis (EPFL)
• 15:00-16:30: The Evolution of Big Data Frameworks
Carlo Curino (Microsoft Research)
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21. Social Event, Friday – Beer
Tasting!
Basse-Ville Fribourg / 15 CHF per Person
Everything You Always Wanted to Know
About Beer. * But Were Afraid to Ask!
18:00 @ Café du Belvédère, Grand-Rue
36
19:00 @ Fri-Mousse, Rue de la
Samaritaine 19
Limited Places, Inscription is mandatory at:
http://xr.si