BSc IT Sem VI 2018 19 May 2018-19 DATAWAREHOUSING Question Paper - Mumbai University | munotes
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Questions asked in this paper
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Q1 Attempt any two of the following: 10 marks
- a. What is data warehouse? Explain in detail
- b. What are the different aspects of data that are looked by ETL data quality monitor? Write short note on online response time
- d. Give reasons why the data warehouse must be backed up
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Q2 Attempt any three of the following: 15 marks
- a. Write short note on online applications
- b. What are impact of the data warehouse on business?
- c. What are the reasons that DW2.0 appeals to the business person?
- d. What is metadata? Give the reasons for the importance of metadata in the DW 2.0
- e. Explain different types of data structures founded in the Integrated Sector
- f. Explain unstructured processing of Integrated Sector of DW 2.0
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Q3 Attempt any three of the following: 15 marks
- a. Explain general architecture for metadata in DW 2.0
- b. What is taxonomy? Explain different types of taxonomy in the unstructured DW 2.0
- c. What are the hallmarks of the spiral development methodology?
- d. Explain enterprise knowledge coordination stream
- e. What are differences between a data mart and an exploration facility?
- f. Write short note on Heuristic Analysis
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Q4 Attempt any three of the following: 15 marks
- a. Explain different levels of data model with diagram
- b. Explain corporate data model
- c. Explain transaction monitor with its features
- d. Explain dormant data monitor in data warehouse
- e. How data is protected using encryption? Explain its drawbacks
- f. Write short note on sensing an attack
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Q5 Attempt any three of the following: a Explain non-overlapping records b Explain time-collapsed data Explain data flow into the integrated sector d Explain data flow into the archival sector e Explain ETL processing in online mode f Explain different approaches for handling rejected data in ETL processing 15 marks
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Q6 Attempt any three of the following: 15 marks
- a. What are the functions of the granularity manager? Explain
- b. Explain metadata as a by-product
- c. Explain indexing for data warehouse performance
- d. Explain batch parallelization to enhance data warehouse performance
- e. Write steps for building enterprise metadata
- f. Explain separating farmers and explorers to optimize data warehouse performance
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Q7 Attempt any three of the following: 15 marks
- a. What are the objectives of physical design? Explain
- b. Explain naming of files and tables in the staging area List five common provisions to be found in a good security policy
- d. What topics should the users be trained on initially?
- e. Describe different types of action for growth planning prompted by the collected
- f. Describe major tasks needed to prepare.a training program
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May 2018-19 - DATAWAREHOUSING
May 2018-19 - ELECTIVE GIS
May 2018-19 - INTERNET TECHNOLOGIES
May 2018-19 - IPR AND CYBER LAWS
May 2018-19 - PROJECT MANAGEMENT
May 2018-19 - BUSINESS INTELLIGENCE
May 2018-19 - PRINCIPLES OF GEOGRAPHIC INFORMATION SYSTEMS
May 2018-19 - QUALITY ASSURANCE
May 2018-19 - SECURITY IN COMPUTING
May 2018-19 - DATAWAREHOUSING Open
2016-17 - GIS SemVI
2016-17 - Internet Technology
2016-17 - Project Management
2016-17 - Data Communication Networking Security
2016-17 - Data Warehaesing
2016-17 - Datawarhousing
2016-17 - Geographic Info. Sys
2016-17 - IPR CYBER LAWS
2016-17 - IPR
2016-17 - Linux
2016-17 - Project Management
2016-17 - Project Managemt
Dec 2019 - ATKT DATAWAREHOUSING
2016 - ATKT Data Warehousing
2016 - ATKT Digital Signal System
2016 - ATKT Elective GIS
2016 - ATKT Elective IPR Cyber Law
2016 - ATKT Project Management
DIGITAL SIGNALS AND SYSTEMS
INTERNET TECHNOLOGIES
BUSINESS INTELLIGENCE
CYBER LAWS
ELECTIVE GEOGRAPHICAL INFORMATION SYSTEM
ELECTIVE IPR AND CYBER LAWS
INTERNET TECHNOLOGIES
PRINCIPLES OF GEOGRAPHICAL INFORMATION SYSTEMS
PROJECT MANAGEMENT
QUALITY ASSURANCE
SECURITY IN COMPUTING
TYIT SEM VI DEC. 18 C 18.DEC.18 (PC. 35224) 17
C OLD 17
INTERNET TECHNOLOGIES OLD
IPR AND CYBER LAWS
INTERNET TECHNOLOGIES
DATAWAREHOUSING
ELECTIVE PROJECT MANAGEMENT
DATAWAREHOUSING
ELECTIVE III PROJECT MANAGEMENT OLD
PROJECT MANAGEMENT
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