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Big Data, Future of Computing, Parting Thoughts

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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

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Big Data, Future of Computing, Parting Thoughts

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  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. Big Data

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

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

  5. 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

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

  7. 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

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

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

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

  11. 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

  12. 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”

  13. 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

  14. 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!!!) • https://students.cis.uab.edu/wiki/index.php/Main_Page (survival guide with many good pointers) • http://www.topuniversities.com/student-survival/student-life/getting-through-your-first-year-uni (student survival guide) • http://csugsac.eng.utah.edu/survival_guide/professors.html(student survival guide) • https://sites.google.com/site/princetoncsmajors/jobs/interviewing(interviewing) • http://oedb.org/fast-track-careers-computer-science(careers in CS) • http://emmaus.patch.com/articles/five-things-to-know-about-the-future-of-computer-science(CS future) • http://www.cs.umd.edu/~oleary/gradstudy/gradstudy.pdf(graduate school)

  15. 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!!

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