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Course Content
MODULE 1
0/11
1.Define Big data. Explain the characteristics of big data
08:33
2.Discuss the evolution of big data
06:18
3.Compare the data in warehouse and data in Hadoop(OR) Interpret about traditional business intelligence versus big data with respect to data warehouse and Hadoop environment
04:05
4.With neat block diagram, explain data architectural design(OR) Discuss the functions of each of the five layers in Big Data architecture design
05:03
5.Explain the Classification of data
05:16
6.Explain the top challenges facing big data
07:24
7.Briefly explain the classification of big data analytics
10:06
8.Illustrate the various phases involved in Big Data Analytics with neat diagram
12:04
9.Explain the Terminologies used in big data environment
06:47
10.Explain briefly various analytical tools used for big data
05:39
11.Explain any two Big Data different Applications
07:22
MODULE 2
0/12
1.What are the core components of Hadoop? Explain in brief its each of its components
08:55
2.Differentiate RDBMS Vs Hadoop
03:55
3.Explain Hadoop distributed file system
10:38
4.Briefly explain the History of Hadoop
02:55
5.What is Hadoop? Explain Hadoop Ecosystem and its components
06:23
6.Define map reduce framework and explain its functions
07:01
7.Write down the steps on the request to map reduce and the types of process in map reduce
04:09
8.Briefly explain about YARN Architecture
02:57
9.Implement MapReduce Program with word count example
06:39
10.Explain the phases of Maptask and Reducetask
08:55
11.Write a mapreduce program to search for a specific keyword in a file
05:03
12.Write a user define partitioner class for wordcount problem
05:33
MODULE 3
0/10
1.Explain the features of MongoDB database
06:14
2.Explain MongoDB query language with syntaxes
09:41
3.Compare the operations used in RDBMS and MongoDB(8M) List and explain the terms used in RDBMS and MongoDB
08:28
4.Give the details of datatypes supported by the mongoDB
03:39
5.Explain the process of replication and sharding in mongoDB
06:35
6.With example how to Find documents based on search criteria in MongoDB. Write its equivalent RDBMS query
08:56
7.What is Aggregate function in MongoDB? Explain with example
09:14
8.What is Mapreduce function in MongoDB? Explain with example
10:02
9.What is a Cursor? How is a cursor implemented in MongoDB. Explain with suitable example
11:19
10.Explain how arrays can be implemented in mongodb with example
13:06
MODULE 4
0/12
1.Illustrate main features and Architecture of Hive with neat diagram.(10m) (or) What is HIVE? Explain HIVE Architecture
07:42
2.Explain about the various data types supported by HIVEQL and file formats used in Hive
13:27
3.Explain the following HIVEQL clause
12:07
4.Explain Hive integration and work flow steps involved with a neat diagram
08:04
5.Explain in detail about HIVE query language statements
15:26
6.Explain the following in HIVE
13:34
7.Discuss the pig Latin data types
10:08
8.Explain Pig architecture for scripts dataflow and processing
12:33
9.Discuss the comparison between Pig & Hive
06:41
10.Explain the different types of Eval functions in Pig
09:01
11.Demonstrate local and distributed modes of running PIG Scripts
08:38
12.Explain any five relational operators used in pig with example
10:59
MODULE 5
0/10
1.What is Spark? Explain in detail about spark architecture
04:09
2.Briefly explain the features of SPARK
02:43
3.Explain in detail Five layer architecture of SPARK software stack
07:50
4.Explain the steps for data analysis in SPARK
05:49
5.What is Spark SQL? Explain in detail
08:17
6.Explain different Python libraries for analysis in spark
10:55
7.Illustrate the various phases in text mining process pipeline (10M) (OR) Explain five phases in a process pipeline text mining.
09:17
8.Compare text mining and data mining
04:23
9.Briefly explain about Web mining Taxonomy
09:19
10.Describe the web content mining and three phases for web usage mining (10M) (OR) Explain Web Usage Mining
09:35
BIG DATA ANALYTICS || CSE stream || Very Important Questions Explained with Concepts || All 5 modules || BAD601|| Last moment exam preparation
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