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Big Data Basics INFS 5095 2018 SP5

Big Data Basics

INFS 5095 2018 SP5

student's Assignment Guide Assignment 1 – Technology Review (Internal and External/Online)

Technology Review for managing or exploiting Big Data from IoT (Internet of Things) devices.

Select one of the technologies described in the latest Gartner Hype Cycle for Data Science and Machine Learning, and write a critical review of the contribution this technology could make to managing or exploiting Big Data from IoT (Internet of Things) devices.

About this Assignment

This assignment is giving you practice in matching business needs to data-technology solutions and being able to communicate that. You could imagine you are a big data consultant who has been asked to give a proposal to a group of organisations who are considering whether to invest in big data. Assume that the audience know little about IoT (Internet of Things) or big data. Your proposal would help them to make an investment decision about the technology. However, the assignment is not just a sales pitch – you have to demonstrate that you know what you are talking about, back up your arguments with evidence, communicate new concepts and demonstrate to the audience that you have an understanding of how IoT is used in businesses enough to recommend a specific technology. Note:

• this assignment should be produced as a report, not a presentation

• you must include some diagrams or other visuals in the assignment

• keep in mind this is for a business audience – you will need to explain technical terms

Internet of Things Data

Start with gaining an understanding of IoT data including examples how it has been used in organisations for their benefit. You can refer to these examples in your assignment. A good starting point is the Harvard Business Review’s article ‘Smart, Connected Products’ referred to in the ‘Big Data Fundamental’s presentation (week 1).

Technology choice

Technology should be taken from the latest Gartner Hype Cycle for Data Science and Machine Learning (see the course website for how to access this from the UniSA Library’s online resources). It could be related to any aspect of managing or using big data such as storage, transmission, transformation, encryption, analysis, visualisation, security, self-service, etc. Use this assignment as an opportunity to find out more about a technology you’re interested in. The technology shouldn’t relate to creating big data. don't focus on a specific tool or vendor – it will be more useful in your profession if you are knowledgeable of a range of tools from different vendors. Some data science technologies will be better suited for managing or exploiting IoT data than others.

Value to Business

You should be able to explain the benefit of the technology to business. So some technologies may primarily benefit the data scientist (eg: Notebooks in Gartner’s ‘Hype Cycle for Data Science and Machine Learning’), but have less obvious value to the business. A key aspect of successful big data implementation is making the value known. The priority matrix and business impact sections in the Gartner’s Hype Cycle will help. Page 3 of 5 If you want to – you can select a specific industry or sector to focus on rather than all organisations. For instance, agricultural organisations, oil and gas utilities, primary schools. don't choose one specific organisation.

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