Summarize and reflect what you have learned from this course

Guideline: Developing Big Data Applications Summarize and reflect what you have learned from this course about conceptual modeling in big data management.

Summarize and reflect what you have learned from this course
1) Developing Big Data Applications [20 marks]

a. Summarize and reflect what you have learned from this course about conceptual modeling in big data management.

Illustrate, with diagrams and explanation, the use of conceptual modeling in your group project (do not share with your groupmates); (at least 600 words)

b. Consequently, search from external sources for more detail information about ECL which is used inside HPCC environment. Describe ECL’s declarative programming constructs especially how its AI features can solve BDA problems with task-parallelism nature; (at least 600 words)

2) Data & Task Parallelism [25 marks] a. Summarize and reflect what you have learned from this course about data parallelism and task parallelism; (at least 300 words)

b. More so, design a full example (case scenario requiring “composite-key; multiple-value” key-value pair, e.g. {city + day, max temp + min temp};

30 sets of raw data to be split into 2 data nodes; MapReduce 5-stage solutions) illustrating your understanding of data parallelism.

This example’s solution format should be similar to class exercises 3 or 4 but the scenario and raw data must be totally different;

3) In addition, Tools and techniques for big data [20 marks]
a. Using a table, compare and contrast between MPP and SMP in terms of their strengths, weaknesses and application areas; (at least 500 words)

b. Also, find another big data platform (except HPCC and Spark) similar to Hadoop. Compare (using a table) this platform with Hadoop in terms of features, strengths and weaknesses. (at least 500 words)

4) Data governance for big data management [15 marks]
a. Summarize and reflect what you have learned from this course about the five key concepts for big data oversight; (at least 600 words)

b. Additionally, Illustrate your understanding of dimensions for measuring the quality of information used for BDA with one example for each dimension; (at least 600 words)

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