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CIS8025 Big data analytics
Table of ContentsIntroduction......................................................................................................................................3Task1. Discuss why we use data visualization techniques..............................................................4Exploring data visualization techniques......................................................................................4Explanatory data visualization techniques...................................................................................4Task 2 Discuss how we use data visualization techniques..............................................................6The expressiveness of a data visualization technique..................................................................6Effectiveness of a data visualization technique...........................................................................7Task 3 Discuss the role that cloud computing is playing in big data management. How doescloud computing impact on data visualization if at all?..................................................................7Role of Cloud computing in Bigdata...........................................................................................7Impacts of cloud computing in data visualization.......................................................................8Task 4 Discuss the impact that the Internet of Things is having on big data management and datavisualization in term of the opportunities and challenges...............................................................8Conclusion.....................................................................................................................................10References......................................................................................................................................11
IntroductionThe world is full of new technologies evolving around it and the entire population is dependenton the internet for seeking information. There are lots of data generated day by day but there isno process for analyzing and visualizing the data. Therefore visualization techniques are used forthis purpose. Visualization helps in the creation of animations, images, and diagrams forconveying a message. It provides data visualization and extracts some meaning full data from it.This document states about visualization, need of it along with some examples in bigdata.Visualization is the best way to analyze the data. This document focuses on two questions whatand why visualization.
Task1. Discuss why we use data visualization techniques Data visualization helps to communicate from data using visual representation. It aims atdistilling the huge datasets into graphics for gaining a better understanding of relationships in thedata. It is used with statistical graphics, information visualization, and information graphics. Ithelps in identifying, manipulating, presenting, and effectively locating the data. If something ismeant for some work then there is a need for it (Hawking, et. Al 2018). Exploring data visualization techniquesThe basic need of using these visualization techniques is that every day lots pf data is generatedby the organizations, social media's and many more but there is no method for managing it andmanaging the data is the most difficult task in this world, therefore, it is used to manage the data.Most of the organizations are collecting the data and trying to act on that data so that they cancompete in the market because it helps in better decision making (Hopkins, et. Al 2018).Data visualizations help in gaining a better understanding of data and explore the data usingvarious techniques. It helps in applying creativity on the data which in return reduces the need ofallocating resources for building new service models. For the one who is involved in big data andcloud computing, it's impossible for them not to gain profits from the data. Another need ofusing these techniques is to get profits in finance, government, history, marketing, education,sports and service industries, etc. (Stehle, et. Al 2018).Figure 1: Need for data visualization(Source: MygreatLearning, 2020)This technique helps in the easy sharing of data among the peer groups and within theorganizations. One can share facts about the ongoing trends in the markets using graphs andcharts. Technologies are the growing inventions in this world that create waves in the markettherefore it allows making the way of visualization very interactive. Everyone is aware of thefunctioning of the human brain that processes the visual information rather than the written text(Hopkins, et. Al 2018). Explanatory data visualization techniquesThere are various techniques used for data visualization. Some of them are given below:-
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