BIG DATA ANALYTICS IMP QUESTIONS for Exam point of view

BIG DATA ANALYTICS IMP QUESTIONS

UNIT –I

1.         Explain in detail about various Characteristics of Big Data.
2.             Define Big Data how it is Important to real time environment.
3.          Explain about patterns for Big Data Development.
4.          Discuss about Data in the warehouse and Hadoop.

    UNIT-2

1.           Define Hadoop and how to compare with SQL databases.
2.          Explain the basic building blocks of Hadoop with a neat sketch.
3.          Explain the various operational modes of Hadoop cluster configuration.
4.         Discuss in detail about job tracker and task tracker.

    UNIT-3

1)       Explain about analyzing the data with hadoop.

2)       Describe in detail about scaling out, streaming and pipes in Hadoop.

3)       Describe in brief about configuration API for Map reduce framework.

4)       Define cluster? Discuss about running on a cluster.

UNIT-4

1.          Explain in detail about components of Hadoop.
2.             Discuss about how to reading and writing the Hadoop Distributed file system.
3.         Explain about HDFS file operations commands.

     UNIT-5

1. Explain the basic template of a map reduce program?
2.  Explain the Hadoop API?
3.  Discuss the streaming in hadoop?
4.  Explain the how to improving performance with combiners?

UNIT-6

1.             Describe about how to create a bloom filter?
2.            Explain how to partitioning into multiple ouput files?
3.             Explain about probing for task specific information?
4.             Discuss about passing job specific parameters to tasks?

UNIT-7

1.          Explain about Shortest Path Algorithm?
2.         Explain about Friends of Friends Algorithm?
3.          Explain Page Rank Algorithm?
4.