Tasks

Part 2 – Analysis and Solutions (Proposing a Big Data Conceptual Framework)

Description:
The Meteorological Department of Malaysia has appointed you recently as the person in– charge of proposing a conceptual big data analytics framework to help the department extract and uncover the hidden patterns as well as applicable information that are useful to yield better weather forecast results. As we know, the analysis of weather data includes temperature, air pressure, wind speed, wind direction, humidity, rainfall, etc.

The conventional way of predicting the weather utilizing these data is a tedious and complex task, this is because these data are disorganized, and they are usually stored in multiple formats, in separate files, and in multiple computers. Hence the weather prediction is a human–intensive task since it may require workers to collect, copy, transfer, and combine a lot of heterogeneous weather data from multiple files/ sources into experimental datasets. Furthermore, the accuracy of the collected data may also be affected because errors might occur during the process.

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