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B.TECH.
THEORY EXAMINATION (SEM–VI) 2016-17
BIG DATA
Max. Marks : 100
Note: Be precise in your answer. In case of numerical problem assume data wherever not provided.
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SECTION - A 10 x 2 = 20
- Explain the following:
- List the characteristics of big data.
- How to calculate risk in marketing?
- Why would you use inferential statistics in big data?
- What do you mean by sharding?
- State the usage of Hadoop pipes.
- Compare Master-Slave and peer to peer architecture in NoSql.
- What is the purpose of bloom filter?
- Compare the classic Map Reduce with YARN.
- Mention the usage of Grunt.
- How Date and Time data types are used in Hive?
- Why Hive is preferred instead of PigLatin?
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SECTION – B 5 x 10 = 50
Attempt any five of the following questions:
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- Relate crowd sourcing and big data. Justify the relationship with an example.
- Write down the aggregate data model in detail with an example.
- Differentiate "Scale up and Scale out” Explain with an example How Hadoop uses Scale out feature to improve the Performance.
- Discuss in detail about the basic building blocks of Hadoop with a neat sketch.
- Explain in detail about Map-reduce Workflows.
- Provide overview of HBase data model.
- Enumerate the rules followed while data modeling in Cassandra. How the relationships are handled in Cassandra?
- Write down the Hive queries for natural join and outer join. Give examples.
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SECTION – C 2 x 15 = 30
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Attempt any two of the following questions:
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- Explain with a neat sketch about the processing of a job in Hadoop.
- List the various operational modes of Hadoop cluster configuration and explain in detail about configuring/installing the Hadoop in local/standalone mode.
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- Consider the student data File (st.txt), Data in the following format Name, District, age, gender.
- Write a PIG script to Display Names of all female students
- Write a PIG script to find the number of Students form XXXX District
- Write a PIG script to Display District wise count of all male students.
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- Explain the operators supported by pig w.r.to. data access, transformations and debugging operations.
- Consider the student data File (st.txt), Data in the following format Name, District, age, gender.
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- Discuss the different ways of constructing version stamps. What are their pros and cons?
- Write in detail about big data.
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