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Big Data, Future of Computing, Parting Thoughts

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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