1. Cloud Computing & Big Data Group 9 Femme L H Sabaru | Aditya Gisheila N P | Aninda Harapan | Harry | Andrew Khosugih

2. Cloud Computing “A metaphorical term referring to a model of network computing where a program or a applications runs on a connected server”

3. Cloud Computing Characteristics Agility Cost Device & Location Independence Virtualization Multitenancy Centralization Peak-Load Capacity Utilization and Efficiency Reliability Scalability and Elasticity Performance Security Maintenance

4. Types of Cloud Private Cloud Public Cloud Community Cloud Hybrid Cloud

5. Cloud Classifications Software as a Service Infrastructure as a Service Development as a Service Platform as a Service

6. Big Data “…a popular term used to describe the exponential growth and availability of data, both structured and unstructured…” -SAS “Every day, we create 2.5 quintillion bytes of data — so much that 90% of the data in the world today has been created in the last two years alone. This data comes from everywhere: sensors used to gather climate information, posts to social media sites, digital pictures and videos, purchase transaction records, and cell phone GPS signals to name a few. This data is big data” -IBM

7. 3 Vs of Big Data Volume Velocity Variety Massive and keeps increasing volumes of data All types of different data as part of the decision- making and insight process How quick data is arriving, stored and retrieved by users

8. Big Data: A New Competitive Advantage http://iveybusinessjournal.com/topics/strategy/why-big-data-is-the-new-competitive-advantage#.U0cn2dz0xtE Unlock significant value Create and store more transactional data in digital form Allows ever-narrower segmentation of customers Improve decision-making, minimize risks, and unearth valuable insights Can be used to develop the next generation of products and services

9. 9 Problems with Big Data http://www.nytimes.com/2014/04/07/opinion/eight-no-nine-problems-with-big-data.html?_r=1 It never tells which correlations are meaningful Rarely succeeds as a wholesale replacement Many tools based on big data can be easily gamed Often turn out to be less robust than they initially seem The Echo- Chamber Effect Risk of too many correlations Prone to giving scientific- sounding solutions Often falls short when analysing things that are less common The HYPE

10. Thank You