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

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

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

Types of Cloud Private Cloud Public Cloud Community Cloud Hybrid Cloud

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

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

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

Big Data: A New Competitive Advantage 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 Problems with Big Data 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

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