Try answering these brief review questions:
1. Describe the main types of storage structures. How has Big Data caused these structures to change? Summarise the key limitations of traditional storage systems.
2. Justify two arguments for why organisations should focus on storage if they want to expand or implement a large-scale data analytics program. What is likely to occur if storage is neglected?
3. Explain the difference between SaaS, PaaS and IaaS.
4. Why would businesses be attracted to hybrid Cloud offerings? What are some of the limitations of a purely public or purely private cloud network?
5. Why do you think businesses have not fully embraced Cloud computing? Explain with reference to both business operations and Big Data programs more specifically. How can this be overcome?
Answer here.
References
Computer Weekly (2014), “Are retailers using data analytics to their advantage?”, Caroline Baldwin (Ed.), accessed online at http://www.computerweekly.com/news/2240218550/Are-retailers-using-data-analytics-to-their-advantage [January, 2016]
Gartner (2015) “Gartner’s 2015 Hype Cycle for Emerging Technologies Identifies the Computing Innovations That Organizations Should Monitor”, accessed online at http://www.gartner.com/newsroom/id/3114217 [January, 2016]
Lumidata (2015) “Don’t Be Overwhelmed By Big Data”, accessed online at http://www.lumidata.com/sites/lumidata.com/files/whitepapers/Don’t%20Be%20Overwhelmed%20by%20Big%20Data_2015pdf.pdf [January 2016]
Minelli, M., Chambers, M., & Dhiraj, A. (2012). Big data, big analytics: emerging business intelligence and analytic trends for today’s businesses. John Wiley & Sons.
Schmarzo, B. (2013). Big Data: Understanding how data powers big business. John Wiley & Sons. http://docs.oracle.com/html/E10312_01/dm_concepts.htm Surajit Chaudhuri & Umeshwar Dayal (1997). “An overview of data warehousing and OLAP technology”. SIGMOD Rec. ACM. 26 (1): 65.