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Effects of covid on trade

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ETL pipeline

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Data Storage:

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  • For the purprose of data storage we used a blob storage sanctioned via Azure cloud platform.

Data Transformation

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  • For data transformation and loading to data base we used Azure databricks by running Pyspark queries in order to create the following fact and dimension tables.

    1. Fact
    1. Country
    1. Commodity
    1. Transport Mode
    1. Direction
    1. Measure

Data loading

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  • For data loading and storage we use SQL server deployed in azure cloud

Analytics Dashboard

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By leveraging tabeleau's comprehensive dashboard creation utilities we are able to create a consolidated dashboard as shown in Book2.pdf

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