Engineering B.E. (Computer Engineering) Sem 7 Big Data Analytics May 2023 Question Paper - Mumbai University | munotes

Questions asked in this paper

1. Q2 Answer any three out of the remaining five questions
2. Q3 Assume any suitable data wherever required and justify the same
3. Q1 a) _ Distinguish between Name node and Data node. 5 marks
   • b) and explain the core business drivers behind the NoSQL movement. 5
   • c) Mention four characteristics of big data. Elaborate these characteristics with respect to social media websites 5
   • d) List and explain the different issues and challenges in data stream query 5
4. Q2 a) store? What are the benefits of using a key-value store? 10 marks
   • b) Write a map reduce pseudo code to multiply two matrices. Apply map reduce working to perform following matrix multiplication 10
5. Q3 a) Suppose the stream is S = {2, 1, 6, 1, 5, 9, Let hash functions h(x)=ax+ b mod 16 for some a and b, treat result as a 4-bit binary integer. Show how the Flajolet- Martin algorithm will estimate the number of distinct elements, h(x) = 4x 10 marks
   • b) Consider the following data frame given below: course | id | class_| marks Create a subset of course less than 3 by using [ | brackets and demonstrate 10
   • ii. Create a subset where the course column is less than 3 or the class equals to 2 by using subset () function and demonstrate the output
6. Q4 Explain natural join and grouping and aggregation relational algebraic operation 10 marks
   • b) neat sketch, explain the architecture of the data-stream management 10
7. Q5 a) Determine communities for the given social network graph using Girvan- 10 marks
   • b) List and discuss various types of data structures in R. 10
8. Q6 following table shows the number of units of different products sold on Create five sample numeric vectors from this data 10 marks
   • ii. Name and explain the operators used to form data subsets in R
   • b) collaborative filtering. Using an example of an e-commerce site like flipkart or amazon describe how it can be used to provide recommendation to 10

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