discuss the differences between business Intelligence, big data, data warehousing and cluster computing.

Course: Data Management and Analytics

Note: Answer 100-100 words main Discussion Lerning Activity Module 2 & 3.

Module 2

Learning Activity – Group – Collaborative Activity (100 Words)

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Find difference between profiling and cleaning

Find different Data Quality Tools

Post your response into Module 2.2 Learning Activity – Group – Collaborative Activity

Learning Activity 1: Data Quality Management Plan – Discussion Forum Post

(100 Words)

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Based on the readings listed in the essential resources section, what are the typical contents of a Data Quality Management Plan for any organisation?

Post your response into Module 2.2 Data quality management plan discussion forum.

Learning Activity 2: What is the difference? (100 Words)

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Document management systems and content management systems both do the following:

· Help manage documents.

· Facilitate information creation, retention and distribution.

· Provide centralized storage for data.

· Ensure fast and easy information retrieval.

· Provide high-level information security.

· Support content-driven collaboration.

· Offer automated workflows.

Now, make a list of how the two systems are different? Why are these differences important for organisations to understand? Give an example of each system.

Post your response into Module 2.2 What is the difference? discussion forum

MODULE 3.1 – DISCUSSION FORUM

Learning Activity 1: Business intelligence discussion forum post (100 Words)

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In your own words, discuss the differences between business Intelligence, big data, data warehousing and cluster computing.

Write 75 words on each concept, giving an example. Then compare and contrast the four concepts in 100 words.

Post your response in Module 3.1 Business intelligence discussion forum.

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Learning Activity 2: Data science – the future (100 Words)

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Watch the following three short videos:

  1. Data science drives Wall Street and Main Street (2m13s)
  2. Where is all the data coming from? (2m24s)
  3. Businesses of the future (1m37s)

In these videos you are given a number of examples of how data science is changing business and information dissemination.

Choose a business or industry that you think will be changed in the next ten years by data. In the discussion post give your example and explain why you think it is going to happen and is important.

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