1. Big Data, Future of Computing, Parting Thoughts Slobodan Vucetic Associate Professor Department of Computer and Information Sciences Temple University Slides and pictures borrowed from: rio.ecs.umass.edu/~lgao/ece697_11/01Overview.ppt http://www.nsf.gov/attachments/124212/public/BIG-Data-Webinar-Honavar-Final-May8with508.pdf Google Images

2. Name (Symbol) Value kilobytekilobyte (kB)10 3 megabytemegabyte (MB)10 6 gigabytegigabyte (GB)10 9 terabyteterabyte (TB)10 12 petabytepetabyte (PB)10 15 exabyte (EB)10 18 zettabytezettabyte (ZB)10 21 yottabyteyottabyte (YB)10 24

3. Big Data

4. 4 Reasons for the Emergence of Large Data Sets: Better technology Storage & disks – Cheaper – More volume – Physically smaller – More efficient Large data sets are affordable

5. 5 Reasons for the Emergence of Large Data Sets: Better networking High speed Internet Cellular phones Wireless LAN More data consumers More data producers

6. 6 Reasons for the Emergence of Large Data Sets: Better IT More processes are automatic – E-commerce and V-commerce – Online and telephone banking – Online and telephone customer service – E-learning – Chats, news, blogs – Online journals – Digital libraries More enterprises are computerized – Companies – Banks – Governmental institutions – Universities More data is available in digital form

7. 7 Reasons for the Emergence of Large Data Sets: Growing needs Science – Astronomy – Earth and environmental studies – Meteorology – Genetics Business – Billing – Mining customer data More incentive to construct large data sets Intelligence  Emails  Web sites  Phone calls Search  Web pages  Images  Audio & Video

8. 8 Big Data – Opportunities Big Data presents unprecedented opportunities to – Accelerate scientific discovery and innovation – Lead to new fields of inquiry that would not otherwise be possible – Improve decision making – Understand human and social processes – Promote economic growth – Improve health and quality of life

10. Sky surveys 120 GB/week, 6.5 TB/year Astronomy Genomics Remote Sensing Air, Land, Ocean 100s GBs /day Drug Discovery 2M of compounds > 100M interactions 25K genes, 3B base pairs 8B humans thousands of organisms Participatory Sensing Big Data – Science

11. 11 Typical router: 42 bytes/second 3.5 Gigabytes/day Internet Traffic 8 Billion pages 10kB/Page 8 TB of indexed text Web Social Networks Mobile Apps Big Data – Internet

12. Big Data – Intelligent Transportation Systems The future lies in integration, mining and analytics of BIG DATA From the sky or spaceFrom the ground From the vehicles

13. 13 Big Data and CIS – Specific Challenges Data management, collection and storage – New data storage, I/O, architectures – Efficient archiving, storing, indexing, retrieving, and recovery – Privacy and security – Cloud computing – Languages, tools, methodologies and programming environments Data Analytics – Data analytics under processing, memory, storage, energy constraints – Scalable and interactive data visualization – Extraction and integration of knowledge from massive, complex, multi- modal, or dynamic data – New algorithms, languages, data structures for data analytics

14. Big Data and Future of Computing Google web search and Google news search – “big data” – “big data computer science” – “big data jobs” – “big data future computing” – “big data cloud computing”

15. Parting thoughts Take-home messages from CIS 1001 – CIS is a growing field entering its golden age Physical world will be increasingly driven by computers and information technology Increased importance of virtual and augmented reality world – There is no free lunch Work hard – Get good GPA – Broaden your skills and perspective Make smart choices – Get internships – Do undergraduate research – Open a startup Use resources available to you – Temple advising and help desks – Professors, TAs, Colleagues – Family and friends – Web

16. Parting thoughts Web is the biggest knowledge source – It contains all known wisdom, it is there for taking, use it for your advantage – It can be a great time sink, there are many dead ends Some Pointers: – http://tech.mit.edu/V132/N34/education.html (free high quality courses!!!) http://tech.mit.edu/V132/N34/education.html – https://students.cis.uab.edu/wiki/index.php/Main_Page (survival guide with many good pointers) https://students.cis.uab.edu/wiki/index.php/Main_Page – http://www.topuniversities.com/student-survival/student-life/getting- through-your-first-year-uni (student survival guide) http://www.topuniversities.com/student-survival/student-life/getting- through-your-first-year-uni – http://csugsac.eng.utah.edu/survival_guide/professors.html (student survival guide) http://csugsac.eng.utah.edu/survival_guide/professors.html – https://sites.google.com/site/princetoncsmajors/jobs/interviewing (interviewing) https://sites.google.com/site/princetoncsmajors/jobs/interviewing – http://oedb.org/fast-track-careers-computer-science (careers in CS) http://oedb.org/fast-track-careers-computer-science – http://emmaus.patch.com/articles/five-things-to-know-about-the-future-of- computer-science (CS future) http://emmaus.patch.com/articles/five-things-to-know-about-the-future-of- computer-science – http://www.cs.umd.edu/~oleary/gradstudy/gradstudy.pdf (graduate school) http://www.cs.umd.edu/~oleary/gradstudy/gradstudy.pdf

17. Parting thoughts Please fill out the class evaluations (e-SFF evaluations) Last homework: exit survey => You need to fill both to get the grade in this course!!