1. Information technology skills for the 21st century
Big data & data science
Information technology skills for the 21st century

2. Dan d’urso IT in BIg Data and Data Science 4/22/2017
owner Orange Coast Database Associates, inc.
IT Instructor at University of phoenix
25 years software manager at digital EQUIPMENT (NOW HEWLETT-PACKARD); software engineer compilers and operating systems at burroughs corporation
Mba quantitative methods , ms computer science
IT in BIg Data and Data Science
4/22/2017

3. Big data & data science IT in BIg Data and Data Science 4/22/2017
Growth opportunities
Big data
Data science
Applications
technologies
Careers
Skills required
IT in BIg Data and Data Science
4/22/2017

4. Growth opportunities IT in BIg Data and Data Science 4/22/2017
Big data and data science are related fields – data science has been called the marriage of big data and statistics
Sexiest job of the 21st century (Harvard Business Review, 2016)
By2018 we will need 1.5 million managers and analysts at least familiar with data operations along with 140 to 190 thousand data scientists
Data scientist will be 3rd highest paying occupation (Lynda.com, 2016)
IT in BIg Data and Data Science
4/22/2017

5. What is BIG DATA IT in BIg Data and Data Science 4/22/2017
HUGE VOLUMES
EXTREME VELOCITY
Wide variety
IT in BIg Data and Data Science
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6. Big data volume
IT in BIg Data and Data Science
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7. Big data velocity
IT in BIg Data and Data Science
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8. Big data variety IT in BIg Data and Data Science 4/22/2017
New data sources making data analysis job more complex
IT in BIg Data and Data Science
4/22/2017

9. Data science IT in BIg Data and Data Science 4/22/2017
Uses big data from databases and social media
Applies statistical and visualization tools
Current uses include predictive analytics and machine learning
IT in BIg Data and Data Science
4/22/2017

10. applications IT in BIg Data and Data Science 4/22/2017
electronic health records, patient monitoring
Real time product offers
Predictive analytics using social media data (cross-selling, market prices)
Fraud detection
Online ad placement
Manufacturing process improvements
Analysis of scientific data: astronomy, physics, biology (genomics)
IT in BIg Data and Data Science
4/22/2017

11. Base technologies IT in BIg Data and Data Science 4/22/2017 Unix/linux
Hadoop/spark – parallel processing using hundreds of computers
Java /scala – main programming languages for above
Python – swiss army knife programming language
R statistics language
Analytical tools – excel, tableau, bi tools, sas/spss, etc.
IT in BIg Data and Data Science
4/22/2017

12. careers IT in BIg Data and Data Science 4/22/2017 Back end Front end
Systems administrator (unix/linux)
Data base administrator
Network administrator
Data scientist
Statistician
Data analyst
Business analyst
Business intelligence analyst
IT in BIg Data and Data Science
4/22/2017

13. Industries IT in BIg Data and Data Science 4/22/2017
Potential Varies by industry
Most will make increasing use of big data and data scientists
Finance and IT are key oppportunities
IT in BIg Data and Data Science
4/22/2017

14. IT technology skills IT in BIg Data and Data Science 4/22/2017
Data engineering
Data analysis/data science
Unix/linux
Hadoop/spark
Databases (esp. nosql)
Java
python
Database querying/BI tools
Python
R (leading statistics language)
Yes, excel, tableau. Etc.
Unix/linux command line may be helpful
IT in BIg Data and Data Science
4/22/2017

15. Required Skill set
IT in BIg Data and Data Science
4/22/2017

16. references IT in BIg Data and Data Science 4/22/2017
Davenport T., & Patil, D. (2012, October). Data Scientist: The Sexiest Job of the 21st Century. Harvard Business Review. Retrieved from scientist-the-sexiest-job-of-the-21st-century
Davis, P. (2013, July 23). McKinsey Report Highlights the Impending Data Scientist Shortage. Pivotal. Retrieved from: pivotal/news/mckinsey-report-highlights-the-impending-data-scientist-shortage
Hurwitz, J., Nugent, A., Halper, Dr. F. & Kaufman, M. (2013). Big Data for Dummies. Hoboken, NJ: John Wiley & Sons, Inc.
King, J. (2014, December 4) Data Science Salary Survey. Radar. Retrieved from:
Laney, D. (2001, February 6). 3D Data Management: Controlling Data Volume, Velocity and Variety. Meta Group. Retrieved from laney/files/2012/01/ad949-3D-Data-Management-Controlling-Data-Volume-Velocity-and-Variety.pdf
Lynda.com. (2016). Introduction to Data Science. Retrieved from:
Manyika, J., Chui, M., Brown B., Bughin J., Dobbs R., Roxburgh, C., Beyers, A. (2011, May). Big data: The Next frontier for innovation, competition and productivity. Report – McKinsey Global Institute. Retrieved from innovation
Provost, F., & Fawcett, T. (2013). Data Science for Business. Sebastopol, CA: O’Reilly Media, Inc.
IT in BIg Data and Data Science
4/22/2017