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Big data


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Big Data 
 trends & Challenges

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Big data

  1. 1. Andrey Kazarinov HSE, Big Data Systems Big Data 
 trends & Challenges
  2. 2. 2 Data scientists want to build things, not just give advice. One describes being a consultant as “the dead zone.” Data scientists today are akin to the Wall Street “quants” of the 1980s and 1990s. HBR: Data Scientist is the sexiest job of 21st century
  3. 3. 3 Big Data is data that exceeds the processing capacity of conventional database systems. The data is too big, moves too fast, or doesn’t fit the structures of your database architecture. To gain value from this data, you must choose an alternative way to process it Ed Dumbill, O’Reilly
  4. 4. 4 Big Data market will annually grow 5-10% in the next 10 years Russian market in 2015 is $350-500M (2%) with the 40% growth rate
  5. 5. 5Rapid growth of Big Data industry faces with the shortage of Big Data specialists on the market Number of data scientists jobs nearly doubled in 2015 and expected to increase by 70% in 2016
  6. 6. 6Modern Big Data specialist should combine mathematical, programming, business and communication skill Business Programming Mathematics Communication Big Data specialists are highly demanded on the market
  7. 7. 7 Data is growing at 40% annually, reaching nearly 44 ZB by 2020 44 Exponential growth of data requires new methods of collecting, storing and processing data X 300044ZB =
  8. 8. 8Big data came through all the stages of innovation and became a mature tool for improving business Source: Hype Cycle Gartner 2014 2015 2012 2013 Gartner’s hype cycle for emerging technologies 2012-2015 Big Data technology can help business in various fields
  9. 9. 9 Adjustment to the consumers’ preferences and enhancement of customer experience will be the the most vital tasks for Big Data Big Data creates vast opportunities to improve business, especially customer experience
  10. 10. 10Increased accessibility has created an expectation that Millennials can have whatever they want whenever they want it Big Data development will be driven by consumer demand
  11. 11. 11 Big Data 2025 – Driven by consumer demand Next generation of sharing economy 1 2 3 E-commerce efficiency Connected and self-driving cars
  12. 12. 12 Conclusions Business can be not ready for radical changes 1. unclear short-run benefits 2. huge investments 3. scattered IT environment 1 2 3 4 Neglect of qualified specialists Unavailability of Big Data technologies Big Data grows in near future will be mostly driven by consumer demand
  13. 13. 13 Thank you!