Question
This week you are to read the following chapters: Chapter 1 Market and Business Drivers for Big Data Chapter 2 Business Problems Suited to Big
This week you are to read the following chapters:
Chapter 1 Market and Business Drivers for Big Data |
Chapter 2 Business Problems Suited to Big Data Analytics |
Chapter 1 Wholeness of Data Analytics |
Chapter 13: Big Data |
Answer the Following Questions:
Chapter 1 Market and Business Drivers for Big Data
Please answer the following Questions
- What are the sizes of the largest collections of data to be subjected to capture, storage, and analysis within the organization?
- Detail the five most challenging analytical problems facing your organization. How would any of these challenges be addressed if the volume of data is increased by a factor of 10 and 100, respectively?
- Develop a justification for big data within your organization in one sentence.
- Develop a single graphic image depicting what you believe to be the impact of increased data volumes and variety.
- Identify three big data sources, either within or external to your organization that would be relevant to your business.
Chapter 2 Business Problems Suited to Big Data Analytics
Given the premise of considering the suitability of your business challenges, here are some questions and exercises to ponder:
- Using the organizational fitness criteria described in this chapter, assess the degree to which your organization is suited to evaluating big data.
- List what you believe to be the three business challenges in your organization that are most suitable candidates for big data.
- For each of those business challenges, list the characteristics that make it suited to big data.
- Who are the people in your organization with experience, knowledge, or training in big data? How well do they understand your business problem?
Chapter 1: Wholeness of Data Analytics
Answer these Review Questions
1: Describe the Business Intelligence and Data Mining cycle.
2: Describe the data processing chain.
3: What are the similarities between diamond mining and data mining?
4: What are the different data mining techniques? Which of these would be relevant in your current work?
5: What is a dashboard? How does it help?
Chapter 13: Big Data
Answer these Review Questions
1: What are the 3 Vs of Big Data?
2: How does Big Data impact the business models?
3: What is Hadoop?
4: How does Map-Reduce algorithm work?
5: What are the key issues in managing Big Data?
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