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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

  1. What are the sizes of the largest collections of data to be subjected to capture, storage, and analysis within the organization?
  2. 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?
  3. Develop a justification for big data within your organization in one sentence.
  4. Develop a single graphic image depicting what you believe to be the impact of increased data volumes and variety.
  5. 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:

  1. Using the organizational fitness criteria described in this chapter, assess the degree to which your organization is suited to evaluating big data.
  2. List what you believe to be the three business challenges in your organization that are most suitable candidates for big data.
  3. For each of those business challenges, list the characteristics that make it suited to big data.
  4. 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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