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Data 101- Big Data: What is it and Why Do We Care?

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Webinar presentation for the Special Libraries Association on the basics of big data and what it means for information professionals and librarians

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Data 101- Big Data: What is it and Why Do We Care?

  1. 1. BIG DATA What is it and Why Do We Care? Elaine M. Lasda Bergman University at Albany March 6, 2014 elasdabergman@albany.edu Webinar Presentation for the Special Libraries Association
  2. 2. What we’re going to cover today • What is Big Data • What is great about Big Data • What is not so great • The role of Librarians and Info Pros in the Big Data landscape • Tools and Resources
  3. 3. How Big is Big? http://breadboxes.info/files/2012/01/bread-box.jpg
  4. 4. The Three Vs •Variety •Velocity •Volume
  5. 5. Big Data Vs Open Data Based on http://www.opendatanow.com/2013/11/new-big-data-vs-open-data-mapping-it-out/ BIG DATA OPEN GOV’T OPEN DATA
  6. 6. Is Big Data a Game Changer? http://bellwethergames.com/images/stories/blog/salvaged%20bits.jpg
  7. 7. Types of Data Scientists • Statistics • Mathematics • Data Engineering • Machine Learning • Business • Software engineering • Visualization • GIS http://www.datasciencecentral.com/profiles/blogs/six-categories-of-data-scientists
  8. 8. Big Data is FANTASTIC! http://4206e9.medialib.glogster.com/media/6bde80470b0f0ffe3b59b390fcb54a117c65f2406a167bd2589cabc3e9601461/excited-smiley-face.jpg
  9. 9. Applications of Big Data (in general) ttp://analytics-arena.blogspot.com/2012/12/the-famous-beer-diaper-planogram.html
  10. 10. BIG Data is TERRIBLE! http://startupmixology.tech.co/2010-chicago/staff/harper-reed
  11. 11. Caveats and limitations http://www.guy-sports.com/fun_pictures/no_brain.jpg
  12. 12. False Correlations http://www.cdc.gov/healthyweight/images/height.jpg http://www.sbsd.k12.ca.us/cms/lib02/CA01001886/Centricity/Domain/569/kids_reading.jpg
  13. 13. Competencies for Info Pros/Librarians
  14. 14. Add Data Literacy! http://remc12.wikispaces.com/file/view/InformationLit.jpg/32256581/InformationLit.jpg
  15. 15. What We Just Talked About • The Three V’s • Amazing Capabilities • The Human Element • Our Roles as Information Professionals
  16. 16. Now the Fun Stuff! http://www.whee.com.sg/images/common/logo-whee.png
  17. 17. Read! • Big Data: A Revolution that Will Transform How We Live, Work, and Think, by Viktor Mayer-Schonberger http://www.amazon.com/Big-Data-Revolution- Transform-Think/dp/0544002695 • “For Dummies” Books
  18. 18. Read! • An Introduction to Data Science, by Jeffrey Stanton http://jsresearch.net/ • Frontiers in Massive Data Analysis http://www.nap.edu/catalog.php?record_id=18374
  19. 19. General Resource Lists/Training • Syracuse University Library Guide on Data Science http://researchguides.library.syr.edu/datascience • ALA ACRL “Keeping Up With Big Data” page http://www.ala.org/acrl/publications/keeping_up_with/big_data • Data Information Literacy at Purdue wiki http://wiki.lib.purdue.edu/display/ste/Home • MOOCs
  20. 20. Policy/Best Practices • Council For Big Data, Ethics and Society http://www.datasociety.net/initiatives/council-for-big-data-ethics-and-society/ • Research Data Management Principles, Practices, and Prospects – CLIR http://www.clir.org/pubs/reports/pub160
  21. 21. Policy/Best Practices • Rebuilding the Mosaic http://www.nsf.gov/pubs/2011/nsf11086/nsf11086.pdf • GovLab http://thegovlab.org/ • Terminology issues
  22. 22. Keep Current Newsletters • Data Science Weekly http://www.datascienceweekly.org/ • Data Science Central http://www.datasciencecentral.com/ • R-Bloggers http://www.r-bloggers.com/
  23. 23. Keep Current Blogs • Hilary Mason http://www.hilarymason.com/ • Mathbabe http://mathbabe.org/ • Bits Blog in NY Times http://bits.blogs.nytimes.com/ • No Free Hunch http://blog.kaggle.com/ • What’s the Big Data http://whatsthebigdata.com/
  24. 24. PLAY! http://brainysmurf1234.files.wordpress.com/2011/10/sand-castle.png
  25. 25. Big, Open Data Sources http://lightworkersalliance.com/wp-content/uploads/2011/06/Open-Door1.jpg
  26. 26. Google Data Explorer https://www.google.com/publicdata/directory
  27. 27. Amazon Web Services http://aws.amazon.com/
  28. 28. Scale Unlimited http://www.scaleunlimited.com/datasets/public-datasets/
  29. 29. Database Structure/Data Analysis • R http://cran.us.r-project.org/ • Hive/Hadoop http://hive.apache.org/ • PostgreSQL http://www.postgresql.org/ • Project Bamboo Dirt http://dirt.projectbamboo.org/ • Mlcomp http://mlcomp.org/
  30. 30. Visualization tools http://us.123rf.com/400wm/400/400/lucadp/lucadp1204/lucadp120400012/13060060-one-crystal-ball-with-a-bar-chart-inside-it-a-concept-of-financial-and-business-forecasts-3d-render.jpg
  31. 31. Piktochart http://piktochart.com/
  32. 32. Esri http://www.esri.com/
  33. 33. Big ML https://bigml.com/
  34. 34. ManyEyes http://www-958.ibm.com/software/analytics/manyeyes/
  35. 35. Google Fusion Tables https://support.google.com/fusiontables/answer/2571232?hl=en
  36. 36. Chartsbin http://chartsbin.com/
  37. 37. iCharts http://www.icharts.net/
  38. 38. Just Plain Cool! http://images5.fanpop.com/image/photos/30600000/The-Fonz-arthur-fonzarelli-30631370-621-362.jpg
  39. 39. CSSeer http://csseer.ist.psu.edu/
  40. 40. StreetBump http://streetbump.org/
  41. 41. My Magic Plus https://disneyworld.disney.go.com/plan/my-disney-experience/my-magic-plus/
  42. 42. Information is Beautiful http://www.informationisbeautiful.net/
  43. 43. Facebook’s Data Science Page https://www.facebook.com/data
  44. 44. Google Trends http://www.google.com/trends/
  45. 45. Flowing Data http://flowingdata.com/
  46. 46. GapMinder http://www.gapminder.org/
  47. 47. One Final Note: Professional Development SLA Data Caucus initiative! IASSIST http://www.iassistdata.org/ ASIS&T http://www.asis.org/ LinkedIN Groups see: http://researchguides.library.syr.edu/content.php?pid=484454&sid=4078160
  48. 48. Contact Me Elaine Lasda Bergman elasdabergman@albany.edu http://www.slideshare.net/librarian68/ @ElaineLibrarian on Twitter

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