One of the critical decisions facing small and medium-sized enterprises (SMEs) embarking o

One of the critical decisions facing small and medium-sized enterprises (SMEs) embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record

MODULAR PROGRAMME ASSESSMENT SPECIFICATION

Module Details

Module Code UFCF8H-15-M

Run 2021

Module Title Big Data

Module Leade

Module Coordinator

Module Tutors

Component and Element Number B

Weighting: (75% of the Module`s assessment) Individual Coursework Report – 100%

Element Description

Individual Course Work Report (2000 Words)

Total Assignment time 40 hours

Dates

Date Issued to Students

 

Date to be Returned to Students

4 weeks after the submission deadline

Submission Place

Blackboard

Submission Date

Submission Time

Deliverables

Module Leader Signature

Aims:

Throughout the Big Data course, you have been introduced to a variety of problem-solving skills necessary to address the challenges of extracting useful data, information retrieval, identifying the organizational needs to employ a SQL (Relational) or NoSQL (Big data) storage etc. This assessment is designed to enable you to make the critical decision of which storage to use, that is often faced by small and medium-sized enterprises (SMEs).

Scenario:

One of the critical decisions facing small and medium-sized enterprises (SMEs) embarking on big data projects is which database to use, and often that decision swings between SQL and NoSQL. SQL has the impressive track record, the large installed base, but NoSQL is making impressive gains and has many proponents. Write a discussion paper that discusses all bases on which small and medium-sized enterprises (SMEs) should make this critical decision of choosing between SQL and NoSQL database.

Note: You must consider all of the following points when researching and writing your discussion paper. Use real life related examples / scenarios and completely avoids coping and/or re-writing generic Big data definitions/concepts:

  • Datasets types, data characteristics and data sources
  • Data processing and storage requirements
  • Organisation readiness and affordability
  • Data quality requirements – consequences/drawbacks of low-quality datasets
  • Knowledge retrieval, analytics or decision support requirements
  • Data privacy and security issues

Format:

Students will be assessed on their ability to convey the outcomes of their research via a report of 2,000 words (excluding references). This should be written in accordance with the word count policy ----------------------------------------------; the word count should be clearly indicated at the end of the report. Students should submit the report as a Word- processed document. The report should include a bibliography relevant to student research and this should be presented in UWE Harvard style. Students will also be assessed on their ability to present their recommendations for choosing between SQL and NoSQL data storage and on explaining their choices clearly and succinctly.

Assessment criteria – Discussion paper (report)

Marks will be awarded according to the extent to which each student demonstrates the following (with weightings shown in brackets):

  • Clearly demonstrate an understanding of the issues associated with making a critical decision of choosing between SQL and NoSQL data source and the implications of choice made and outcomes (60%)
  • Demonstrate an ability to retrieve, evaluate and synthesise information from a range of sources and present this information in a relevant, yet objective manner (25%)
    • Demonstration of a clear and appropriate writing style in the report including accurate spelling, punctuation and referencing (15%)
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