The web page at https://data.london.gov.uk/dataset/london-atmospheric-emissions-
ID: 3742115 • Letter: T
Question
The web page at https://data.london.gov.uk/dataset/london-atmospheric-emissions-inventory-2013 describes the various types of data held for monitored atmospheric emissions for the year 2013. Note that ADSS will ultimately be working on datasets compiled during a 50-year period, but you will be focusing only on a single year (2013), in the first instance.
What types of analytics and insights can be gleaned from the data after it has been ported into Hadoop? Your response should be based on actual inspection of the datasets and should be as specific as possible. What tools or functionality does Hadoop provide for visualising large datasets and generating useful analytics from these?
Explanation / Answer
Big data analytics is nothing but proper uses of processes as well as tools to glean insights from the large amount of data. The big data analytics focussed on deriving conclusions and correlations. Hadoop is one such tool that will analyse the data and gives a prediction that is going to happen in the near future.
Tableau is one such tool that can be integrated with Hadoop for visualizing large data set. It can efficiently deliver interactive data visualization and provide with estimation from the Big data operations. It is a versatile tool and helps in detailed graph and even represents intuitive data. This way decisions can be made accordingly and steps regarding saving environment can be implemented. The decision can be made based on informative as well as easily-readable Tableau graphs.
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