This document discusses big data, data science, and career opportunities in these growing fields. It notes that data science involves using large datasets and tools like machine learning and predictive analytics. Popular technologies include Hadoop, Spark, Java, Python and R. Careers in back-end roles like systems administration and front-end roles like data scientist and analyst are increasing. Skills in areas like Linux, Hadoop, databases, Python and R are in demand. The document provides an overview of applications, industries and references for further information.

2. DAN D’URSO
• 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
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3. BIG DATA & DATA
SCIENCE
GROWTH OPPORTUNITIES
BIG DATA
DATA SCIENCE
APPLICATIONS
TECHNOLOGIES
CAREERS
SKILLS REQUIRED
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4. GROWTH OPPORTUNITIES
• 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)
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5. WHAT IS BIG DATA
HUGE VOLUMES
EXTREME VELOCITY
WIDE VARIETY
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6. BIG DATA VOLUME
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7. BIG DATA VELOCITY
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8. BIG DATA VARIETY
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• NEW DATA SOURCES
MAKING DATA ANALYSIS
JOB MORE COMPLEX

9. DATA SCIENCE
USES BIG DATA FROM DATABASES AND
SOCIAL MEDIA
APPLIES STATISTICAL AND VISUALIZATION
TOOLS
CURRENT USES INCLUDE PREDICTIVE
ANALYTICS AND MACHINE LEARNING
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10. APPLICATIONS
• 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)
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11. BASE TECHNOLOGIES
• 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.
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12. CAREERS
BACK END
• SYSTEMS ADMINISTRATOR (UNIX/LINUX)
• DATA BASE ADMINISTRATOR
• NETWORK ADMINISTRATOR
FRONT END
• DATA SCIENTIST
• STATISTICIAN
• DATA ANALYST
• BUSINESS ANALYST
• BUSINESS INTELLIGENCE ANALYST
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13. INDUSTRIES
POTENTIAL VARIES BY INDUSTRY
MOST WILL MAKE INCREASING USE OF
BIG DATA AND DATA SCIENTISTS
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14. IT TECHNOLOGY SKILLS
DATA ENGINEERING
• UNIX/LINUX
• HADOOP/SPARK
• DATABASES (ESP. NOSQL)
• JAVA
• PYTHON
DATA ANALYSIS/DATA SCIENCE
• DATABASE QUERYING/BI TOOLS
• PYTHON
• R (LEADING STATISTICS LANGUAGE)
• YES, EXCEL, TABLEAU. ETC.
• UNIX/LINUX COMMAND LINE MAY BE HELPFUL
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15. REQUIRED
SKILL SET
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16. REFERENCES
• DAVENPORT T., & PATIL, D. (2012, OCTOBER). DATA SCIENTIST: THE SEXIEST JOB OF THE 21ST CENTURY. HARVARD BUSINESS REVIEW. RETRIEVED FROM HTTPS://HBR.ORG/2012/10/DATA-
SCIENTIST-THE-SEXIEST-JOB-OF-THE-21ST-CENTURY
• DAVIS, P. (2013, JULY 23). MCKINSEY REPORTHIGHLIGHTS THE IMPENDING DATA SCIENTIST SHORTAGE. PIVOTAL. RETRIEVED FROM: HTTPS://BLOG.PIVOTAL.IO/DATA-SCIENCE-
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). 2014 DATA SCIENCE SALARY SURVEY. RADAR. RETRIEVED FROM: HTTP://RADAR.OREILLY.COM/2014/12/2014-DATA-SCIENCE-SALARY-SURVEY.HTML
• LANEY, D. (2001, FEBRUARY 6). 3D DATA MANAGEMENT: CONTROLLINGDATA VOLUME, VELOCITY AND VARIETY. META GROUP. RETRIEVED FROM HTTP://BLOGS.GARTNER.COM/DOUG-
LANEY/FILES/2012/01/AD949-3D-DATA-MANAGEMENT-CONTROLLING-DATA-VOLUME-VELOCITY-AND-VARIETY.PDF
• LYNDA.COM. (2016). INTRODUCTION TO DATA SCIENCE. RETRIEVED FROM: HTTPS://WWW.LYNDA.COM/BIG-DATA-TUTORIALS/INTRODUCTION-DATA-SCIENCE/420305-2.HTML
• MANYIKA, J., CHUI, M., BROWN B., BUGHIN J., DOBBS R., ROXBURGH, C., BEYERS, A. (2011, MAY). BIG DATA: THE NEXT FRONTIERFOR INNOVATION, COMPETITION AND PRODUCTIVITY. REPORT –
MCKINSEY GLOBAL INSTITUTE. RETRIEVED FROM HTTP://WWW.MCKINSEY.COM/BUSINESS-FUNCTIONS/DIGITAL-MCKINSEY/OUR-INSIGHTS/BIG-DATA-THE-NEXT-FRONTIER-FOR-
INNOVATION
• PROVOST, F., & FAWCETT, T. (2013). DATA SCIENCE FOR BUSINESS. SEBASTOPOL, CA: O’REILLY MEDIA, INC.
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