big data tools (bdt)

Gujarat Technological University

Exam Details

Subject big data tools (bdt)
Paper
Exam / Course mca
Department
Organization Gujarat Technological University
Position
Exam Date November, 2018
City, State gujarat, ahmedabad


Question Paper

1
Seat No.: Enrolment
GUJARAT TECHNOLOGICAL UNIVERSITY
MCA SEMESTER-V EXAMINATION WINTER 2018
Subject Code: 3650010 Date: 28/11/2018
Subject Name: Big Data Tools
Time: 10.30 am to 1.00 pm Total Marks: 70
Instructions:
1. Attempt all questions.
2. Make suitable assumptions wherever necessary.
3. Figures to the right indicate full marks.
Q.1

Explain Following.
1. PigLoader
2. REGEX_EXTRACT
3. Tokanizer
4. Pig Vs. Hive
5. FLATTEN
6. JobTracker
7. ResourceManager
07

Explain 4V's of Big Data with Example.
07
Q.2

What is Hadoop? Describe Hadoop Eco System with details.
07

What is NoSQL? Different Between SQL Vs. NoSQL. Also explain advantages of NoSQL.
07
OR

Describe NameNode, Secondary NameNode, and DataNode with example.
07
Q.3

Explain any 7 MongoDB Function with example.
07

How Replication and fault tolerance important in Hadoop? Discuss it.
07
OR
Q.3

What is MapReduce? Explain Mapper and Reducer.
07

Discuss Any 5 HDFS Command with example.
07
Q.4

What is Hive? Explain Type of Partitions with example.
07

How piggybank help in pig? Discuss with example of piggybank.
07
OR
Q.4

Explain Hive Complex data Type with example.
07

What is Pig? Describe its Complex Data types with example.
07
Q.5

Write a short note on MLib and Tensor Flow.
07

What is Spark? Explain RDD in details.
07
OR
2
Q.5

Write a Hive query for word count.
07

Write a Pig Query for following Operation on HDFS. Data Set: (person, dstore, spent) 3.3 4.7 1.2 3.4 1.1 5.5 1.1 List total sales per department stores: List total sales per customer List Total No. of customer visited per department
07



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  • advance database management system
  • advanced biopharmaceutics & pharmacokinetics
  • advanced medicinal chemistry
  • advanced networking (an)
  • advanced organic chemistry -i
  • advanced pharmaceutical analysis
  • advanced pharmacognosy-1
  • advanced python
  • android programming
  • artificial intelligence (ai)
  • basic computer science-1(applications of data structures and applications of sql)
  • basic computer science-2(applications of operating systems and applications of systems software)
  • basic computer science-3(computer networking)
  • basic computer science-4(software engineering)
  • basic mathematics
  • basic statistics
  • big data analytics (bda)
  • big data tools (bdt)
  • chemistry of natural products
  • cloud computing (cc)
  • communications skills (cs)
  • computer aided drug delivery system
  • computer graphics (cg)
  • computer-oriented numerical methods (conm)
  • cyber security & forensics (csf)
  • data analytics with r
  • data mining
  • data structures (ds)
  • data visualization (dv)
  • data warehousing
  • data warehousing & data mining
  • database administration
  • database management system (dbms)
  • design & analysis of algorithms(daa)
  • digital technology trends ( dtt)
  • discrete mathematics for computer science (dmcs)
  • distributed computing (dc1)
  • drug delivery system
  • dynamic html
  • enterprise resource planning (erp)
  • food analysis
  • function programming with java
  • fundamentals of computer organization (fco)
  • fundamentals of java programming
  • fundamentals of networking
  • fundamentals of programming (fop)
  • geographical information system
  • image processing
  • industrial pharmacognostical technology
  • information retrieving (ir)
  • information security
  • java web technologies (jwt)
  • language processing (lp)
  • machine learning (ml)
  • management information systems (mis)
  • mobile computing
  • molecular pharmaceutics(nano tech and targeted dds)
  • network security
  • object-oriented programming concepts & programmingoocp)
  • object-oriented unified modelling
  • operating systems
  • operation research
  • operations research (or)
  • pharmaceutical validation
  • phytochemistry
  • procedure programming in sql
  • programming skills-i (ps-i-fop)
  • programming skills-ii (ps-oocp)
  • programming with c++
  • programming with java
  • programming with linux, apache,mysql, and php (lamp)
  • programming with python
  • search engine techniques (set)
  • soft computing
  • software development for embedded systems
  • software engineering
  • software lab (dbms: sql & pl/sql)
  • software project in c (sp-c)
  • software project in c++ (sp-cpp)
  • software quality and assurance (sqa)
  • statistical methods
  • structured & object oriented analysis& design methodology
  • system software
  • virtualization and application of cloud
  • web commerce (wc)
  • web data management (wdm)
  • web searching technology and search engine optimization
  • web technology & application development
  • wireless communication & mobile computing (wcmc)
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