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Big Data analytics

Big Data analytics . By: Kaityn Lefeve. What is big data?. Overwhelming amount of data arriving at fast speeds Can be separated in two three parts (known as the ABC’s) Big Data Analytics Big Bandwidth Applications Big Content .

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Big Data analytics

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  1. Big Data analytics By: Kaityn Lefeve

  2. What is big data? • Overwhelming amount of data arriving at fast speeds • Can be separated in two three parts (known as the ABC’s) • Big Data Analytics • Big Bandwidth Applications • Big Content http://www.google.com/imgres?um=1&hl=en&tbo=d&biw=1366&bih=619&tbm=isch&tbnid=vLA2WICmLdYmmM:&imgrefurl=http://shhrota.com/2012/01/02/the-big-in-big-data/&docid=Ds1uByyNaP0luM&imgurl=http://shhrota.files.wordpress.com/2012/01/big-data2-shreedandekar1.jpg&w=835&h=569&ei=u5vGUOz_KvPy0QGLpYHIAQ&zoom=1&iact=hc&vpx=870&vpy=321&dur=1003&hovh=185&hovw=272&tx=109&ty=115&sig=115960583979369917376&page=1&tbnh=136&tbnw=200&start=0&ndsp=19&ved=1t:429,r:17,s:0,i:134

  3. When Did it Start? • Before Big Data there was SaaS and Cloud • Big Data has been around for about twenty years.

  4. Who analyzes it? • Need a strong background in statistical theories • Jobs are in high demand • Need to be able to communicate with others

  5. Where is it used? • Banks and insurance companies • Government and Politics • Science and Technology • Others are smart health and wellbeing, marketing, and security and public safety http://www.google.com/imgres?um=1&hl=en&sa=N&tbo=d&biw=665&bih=587&tbm=isch&tbnid=aUf4Ii9wnLojrM:&imgrefurl=http://www.forbes.com/sites/davefeinleib/2012/06/19/the-big-data-landscape/&docid=CLB9kQFeRPAxjM&imgurl=http://blogs-images.forbes.com/davefeinleib/files/2012/07/Big-Data-Landscape-Jul-4-2012.00111.png&w=1024&h=768&ei=yZjGUMrzBMuY0QWJy4GIAg&zoom=1&iact=hc&vpx=18&vpy=263&dur=1370&hovh=194&hovw=259&tx=154&ty=96&sig=115960583979369917376&page=1&tbnh=145&tbnw=200&start=0&ndsp=12&ved=1t:429,r:4,s:0,i:98

  6. Why use it? • Leaders of companies are able to make decisions to benefit the company. • Identify information • Predict hardware failures • Able to improve balance of risk versus reward

  7. References Hsinchun, C., Chiang, R. L., & Storey, V. C. (2012). BUSINESS INTELLIGENCE AND ANALYTICS: FROM BIG DATA TO BIG IMPACT. MIS Quarterly, 36(4), 1165-1188. Liyakasa, K. (2012). BIG DATA ANALYTICS CAN HELP IMPROVE INFORMATION SECURITY. CRM Magazine, 16(11), 11. Makkar, G. (2012). The ABC of Big Data. Siliconindia, 15(3), 32-33. WEINBERGER, D. (2012). Understanding big data vs. theory. KM World, 21(10), 1-29.

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