Planning a Computing Project: Big Data Technologies for Operational Efficiency, Schemes and Mind Maps of Computer science

Unit: 6 Planning a Computing Project

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2022/2023

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Higher Nationals
Internal verification of assessment decisions – BTEC (RQF)
INTERNAL VERIFICATION – ASSESSMENT DECISIONS
Programme title BTEC HND in Computing
Assessor
Ms Sumudu Samarakoon
Internal Verifier
Unit(s)
Unit: 6 Planning a Computing Project
Assignment title
Planning a Project on the Big Data Technologies in achieving operational
efficiency
Student’s name
List which assessment criteria
the Assessor has awarded.
Pass Merit Distinction
INTERNAL VERIFIER CHECKLIST
Do the assessment criteria awarded match
those shown in the assignment brief? Y/N
Is the Pass/Merit/Distinction grade awarded
justified by the assessor’s comments on the
student work?
Y/N
Has the work been assessed
accurately? Y/N
Is the feedback to the student:
Give details:
Constructive?
Linked to relevant assessment criteria?
Identifying opportunities for
improved performance?
Agreeing actions?
Y/N
Y/N
Y/N
Y/N
Does the assessment decision need
amending? Y/N
Assessor signature Date
Internal Verifier signature Date
Programme Leader signature (if required)
Date
Confirm action completed
Remedial action taken
Give details:
Assessor signature Date
Internal Verifier
signature Date
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Higher Nationals

Internal verification of assessment decisions – BTEC (RQF)

INTERNAL VERIFICATION – ASSESSMENT DECISIONS

Programme title BTEC^ HND in Computing Assessor Ms Sumudu Samarakoon Internal Verifier Unit(s) Unit: 6 Planning a Computing Project Assignment title Planning a Project on the Big Data Technologies in achieving operational efficiency Student’s name List which assessment criteria the Assessor has awarded. Pass Merit Distinction INTERNAL VERIFIER CHECKLIST Do the assessment criteria awarded match those shown in the assignment brief? Y/N Is the Pass/Merit/Distinction grade awarded justified by the assessor’s comments on the student work? Y/N Has the work been assessed accurately? Y/N Is the feedback to the student: Give details:

  • Constructive?
  • Linked to relevant assessment criteria?
  • Identifying opportunities for improved performance?
  • Agreeing actions? Y/N Y/N Y/N Y/N Does the assessment decision need amending? Y/N Assessor signature Date Internal Verifier signature Date Programme Leader signature (if required) Date Confirm action completed Remedial action taken Give details: Assessor signature Date Internal Verifier signature Date

Programme Leader signature (if required) Date

Assignment Feedback

Formative Feedback: Assessor to Student

Action Plan

Summative feedback

Feedback: Student to Assessor

Assessor signature Date

Student signature Date

Pearson

Higher Nationals in

Computing

Unit: 6 Planning a Computing Project

Student Declaration I hereby, declare that I know what plagiarism entails, namely to use another’s work and to present it as my own without attributing the sources in the correct way. I further understand what it means to copy another’s work.

  1. I know that plagiarism is a punishable offence because it constitutes theft.
  2. I understand the plagiarism and copying policy of the Pearson UK.
  3. I know what the consequences will be if I plagiaries or copy another’s work in any of the assignments for this program.
  4. I declare therefore that all work presented by me for every aspects of my program, will be my own, and where I have made use of another’s work, I will attribute the source in the correct way.
  5. I acknowledge that the attachment of this document signed or not, constitutes a binding agreement between myself and Pearson UK.
  6. I understand that my assignment will not be considered as submitted if this document is not attached to the attached. Student’s Signature: Date: ( Provide E-mail ID ) ( Provide Submission Date )

Higher National Diploma in Computing

Assignment Brief

Student Name /ID Number

Unit Number and Title Unit: 6 Planning a Computing Project

Academic Year 2023/2024 018

Unit Tutor

Assignment Title Planning a Project on the Big Data Technologies in achieving operational efficiency

Issue Date

Submission Date

IV Name & Date Roshini Sembacuttiaratchy 28/08/

Submission Format:

The submission should be in the form of an individual report with the following sections.

Section 1: Project Management Plan

Section 2: Research report

Section 3: Action Plan

You are required to make use of headings, paragraphs, and subsections as appropriate, and all work

must be supported with research and referenced using Harvard referencing system. Please provide in-

text citation and a list of references using Harvard referencing system.

Please note that this is an individual assessment, and your report should include evidence to that you

have conducted a research to collect relevant data individually.

Research Theme: Big Data

Research Topic: The impact of the application of Big Data Technologies in operational efficiency

in a range of academic, scientific and economic areas.

“Big data is a term that has become more and more common over the last decade. It was originally

defined as data that is generated in incredibly large volumes, such as internet search queries, data

from weather sensors or information posted on social media. Today big data has also come to

represent large amounts of information generated from multiple sources that cannot be processed in a

conventional way and that cannot be processed by humans without some form of computational

intervention. Big data can be stored in several ways: Structured, whereby the data is organised into

some form of relational format, unstructured, where data is held as raw, unorganised data prior to

turning into a structured form, or semi-structured where the data will have some key definitions or

structural form, but is still held in a format that does not conform to standard data storage models.

Many systems and organisations now generate massive quantities of big data on a daily basis, with

some of this data being made publicly available to other systems for analysis and processing. The

generation of such large amounts of data has necessitated the development of machine learning

systems that can sift through the data to rapidly identify patterns, to answer questions or to solve

problems. As these new systems continue to be developed and refined, a new discipline of data

science analytics has evolved to help design, build and test these new machine learning and artificial

intelligence systems. Utilising Big Data requires a range of knowledge and skills across a broad

spectrum of areas and consequently opens opportunities to organizations that were not previously

accessible. The ability to store and process large quantities of data from multiple sources has meant

that organisations and businesses are able to get a larger overall picture of the pattern of global trends

in the data to allow them to make more accurate and up to date decisions. Such data can be used to

identify potential business risks earlier and to make sure that costs are minimized without

compromising on innovation. However, the rapid application and use of Big Data has raised several

concerns. The storage of such large amounts of data means that security concerns need to be

addressed in case the data is compromised or altered in such a way to make the interpretation

erroneous. In addition, the ethical issues of the storage of personal data from multiple sources have

yet to be addressed, as well as any sustainability concerns in the energy requirements of large data

warehouses and lakes”. (Pearson, 2023)

Assignment Scenario

You are expected to carry out a small-scale research project in order to explore the “impact of the

application of Big Data Technologies in operational efficiency in a range of academic, scientific and

economic areas” from the standpoint of a computing professional or a data scientist. The research that

you carry out can be based on an organization / organization, a field, a case study, a scenario, etc. that

you have access to gather sufficient information to investigate the applications, benefits and

limitations of Big Data technologies.

The findings of the research should be presented in a professionally compiled report and the report

should cover the given tasks including,

 A comprehensive project plan - including a work, time and resource allocation/ breakdown using

appropriate tools. A business area analysis Including the features and operational areas of the

business and the role of stakeholders and their impact on the success of the business.

 A research paper - including application and evaluation of quantitative and qualitative research

methods to generate relevant primary data and examination of secondary sources to collect

relevant secondary data and information.

 An Action plan – including recommendations and evaluation of project outcomes comparing the

decisions given in the project plan.

TASK – 04: Action Plan

4.1 Communicate appropriate project recommendations derived from the research data

analyzed for technical and non-technical audiences and assess the extent to which the

project recommendations meet the needs of the chosen organization/s.

4.2 Discuss the reliability, accuracy, and the appropriateness of the research methods applied

while arguing and evaluating the planning recommendations made in the project plan

comparing them to the actual outcomes and the need of the chosen organization/s.

Grading Rubric Grading Criteria Achieved Feedback LO1 Conduct small-scale research, information gathering and data collection to generate knowledge on an identified subject P1 Demonstrate qualitative and quantitative research methods to generate relevant primary data for an identified theme. P2 Examine secondary sources to collect relevant secondary data and information for an identified theme. M1 Analyse data and information from primary and secondary sources to generate knowledge on an identified theme. D1 Interpret findings to generate knowledge on how the research theme supports business requirements in the identified sector. LO2 Explore the features and business requirements of organisations in an identified sector P3 Discuss the features and operational areas of a businesses in an identified sector. P4 Discuss the role of stakeholders and their impact on the success of a business M2 Analyse the challenges to the success of a business in an identified sector LO3 Produce project plans based on research of the chosen theme for an identified organisation