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Question Bank-Big Data

This document contains a question bank related to big data analytics. It lists 30 questions covering topics such as what big data is, its importance and applications, data models, Hadoop architecture, MapReduce, HDFS, Hive, Spark, Pig, and challenges of big data. The questions probe key concepts in distributed file systems, data processing frameworks, SQL-like querying, and programming models for big data.

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Hìtésh Rélwàñí
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7K views1 page

Question Bank-Big Data

This document contains a question bank related to big data analytics. It lists 30 questions covering topics such as what big data is, its importance and applications, data models, Hadoop architecture, MapReduce, HDFS, Hive, Spark, Pig, and challenges of big data. The questions probe key concepts in distributed file systems, data processing frameworks, SQL-like querying, and programming models for big data.

Uploaded by

Hìtésh Rélwàñí
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
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Download as PDF, TXT or read online on Scribd
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INFORMATION TECHNOLOGY DEPARTMENT

Subject: Big Data Analytics (2171607)


Question Bank

Sr.No Question
.
1 What is Big data? Why Big Data?
2 Write down the importance of Big Data.
3 List out the applications of Big Data.
4 What is Data Model? Discuss different Kinds of Data Models.
5 Explain the Data Stream and Data Lakes.
6 Explain Four Vs of Big Data.
7 What comes under Big Data?
8 What are the challenges of Big Data?
9 Explain the 5 Ps of Data science.
10 Explain the Hadoop architecture.
11 Give the examples of Map Reduce.
12 How does Hadoop work?
13 Explain Hadoop Distributed file system.
14 Write down the steps to install Hadoop.
15 List out the Hadoop operation modes.
16 Write down the features of HDFS.
17 Explain HDFS architecture.
18 Write down the goal of HDFS.
19 Discuss the operations of HDFS.
20 Explain HIVE architecture.
21 What is Map Reduce?
22 Explain the various stages of Map Reduce.
23 How streaming works?
24 Explain the architecture of SPARK.
25 Explain transformations methods in SPARK.
26 Write down the features of Apache Fig.
27 Differentiate between Apache Pig and Map Reduce.
28 Explain Apache Pig architecture and its components.
29 Explain the architecture of HIVE.
30 Write down the features of HIVE.

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