•Your team will select a big data analytics project that is introduced to an organization of your choice … please address the following items:
•Provide a background of the company chosen.
•Determine the problems or opportunities that that this project will solve. What is the value of the project?
•Describe the impact of the problem. In other words, is the organization suffering financial losses? Are there opportunities that are not exploited?
•Provide a clear description regarding the metrics your team will use to measure performance. Please include a discussion pertaining to the key performance indicators (KPIs).
•Recommend a big data tool that will help you solve your problem or exploit the opportunity, such as Hadoop, Cloudera, MongoDB, or Hive.
•Evaluate the data requirements. Here are questions to consider: What type of data is needed? Where can you find the data? How can the data be collected? How can you verify the integrity of the data?
•Discuss the gaps that you will need to bridge. Will you need help from vendors to do this work? Is it necessary to secure the services of other subject matter experts (SMEs)?
•What type of project management approach will you use this initiative? Agile? Waterfall? Hybrid? Please provide a justification for the selected approach.
•Provide a summary and conclusion.
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•Your team will select a big data analytics project that is intr.docx
1. •Your team will select a big data analytics project that is
introduced to an organization of your choice … please address
the following items:
•Provide a background of the company chosen.
•Determine the problems or opportunities that that this project
will solve. What is the value of the project?
•Describe the impact of the problem. In other words, is the
organization suffering financial losses? Are there opportunities
that are not exploited?
•Provide a clear description regarding the metrics your team
will use to measure performance. Please include a discussion
pertaining to the key performance indicators (KPIs).
•Recommend a big data tool that will help you solve your
problem or exploit the opportunity, such as Hadoop, Cloudera,
MongoDB, or Hive.
•Evaluate the data requirements. Here are questions to consider:
What type of data is needed? Where can you find the data? How
can the data be collected? How can you verify the integrity of
the data?
•Discuss the gaps that you will need to bridge. Will you need
help from vendors to do this work? Is it necessary to secure the
services of other subject matter experts (SMEs)?
•What type of project management approach will you use this
initiative? Agile? Waterfall? Hybrid? Please provide a
justification for the selected approach.
