Describe expectations for data storage needs

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Reference no: EM133213622

Chapter 1

  1. For the three most typical big data application types, describe your expectations for data storage needs, what type of appliance is best, and what are the data management needs?
  2. Develop a scoring scale between 1 and 5 (where 1 represents a low need and 5 represents a great need) for each of the variables considered for storage requirements (extensibility, accessibility, fault tolerance, I/O speed, integratability). Rate your three applications using your defined scale.
  3. What are the variables you would consider for assessing the comparable costs and benefits of a software appliance versus a hardware appliance?
  4. For a selected big data application, describe how the process can be divided up into "chunks of work" to be performed by the pool of processors.
  5. Why is it a good idea for the processing nodes to work on data at collocated data nodes? 
  6. Review the Hadoop components described in this chapter-discuss whether they will or won't adequately address your big data needs.
  7. Is there a value proposition for solely using HDFS as a scalable data storage option? How does this compare to a traditional storage solution in cost, security, and availability?
  8. For each of your three most typical big data applications within your organization, describe two different ways of breaking the problem into much smaller tasks.
  9. Discuss how the number of tasks is related to the amount of work performed by each task. Is it better to have more tasks with smaller amounts of work or larger tasks with larger amounts of work? Why?
  10. What types of applications have data distributions that are not well suited to parallel execution? Why?
  11. What Big Data Tools and Techniques do you think are most helpful and influential in the accounting and finance industry?  Describe the tools, technique, and process by which it is utilized. Why did you select that tool and technique?  Provide a business example in finance and/or accounting that the tool would be utilized. 
  12. Python or R? Which would be the preferred programming language and why?

Reference no: EM133213622

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