Download AKTU B-Tech 6th Sem 2017-2018 NIT 067 Big Data Question Paper

SECTION A

Attempt all questions in brief.

1. a. What is big data, why we need to analyze big data?

2. b. Define "Data Locality Optimization”.

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3. c. List down the tools related with Hadoop.

4. d. State the purpose of Hadoop Pipes.

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5. e. What is map reducing?

6. f. Write the difference between operational and analytical system.

7. g. Explain Hadoop distributed file system.

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8. h. Write down any four industry examples for Big Data.

9. i. List down the entity of YARN.

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10. j. What is Hadoop architecture?

2 x 10 = 20

SECTION B

Attempt any three of the following:

1. a. Why crowd sourcing analytics needed? Explain.

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2. b. Illustrate on how cloud and big data related to each other.

3. c. Discuss the design of Hadoop Distributed File System (HDFS) in detail.

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4. d. Discuss the queries involved in Hive data definition.

5. e. Write in detail about Hbase data model and pig data model.

10 x 3 = 30

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SECTION C

1. Attempt any one part of the following:

   1. How does Hadoop system analyze data? Explain your answer with example.

   2. Explain Cassandra data model.

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   10 x 1 = 10

2. Attempt any one part of the following:

   1. Explain the Anatomy of MapReduce job run.

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   2. Discuss the different types and formats of Map Reduce with examples.

   10 x 1 = 10

3. Attempt any one part of the following:

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   1. With the help of a Data Model explain aggregations and relations.

   2. Write a brief note on composing map-reduce calculation.

   10 x 1 = 10

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4. Attempt any one part of the following:

   1. Explain Master slave and peer-peer replication in detail.

   2. Discuss about the three dimensions of Big Data.

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   10 x 1 = 10

5. Attempt any one part of the following:

   1. Describe about graph database and schema less databases.

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   2. Elaborate on graph mapping schemas. What do you mean by lower bounds replication rate?

   10 x 1 = 10

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