Data Warehousing (DW) Project Building and Analysing a DW for NatureFresh Stores in NZ, built using a high-performance Oracle database 12c, and Index-Nested Loops Join-Oracle.
The project will include four files:
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createDW.sql To create the schema of the Project
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INLJ.sql It includes extract, transform, and load records to DW
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queriesDW.sql It contains all OLAP queries
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projectReport.doc It reports the whole process.
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Open the SQL developer
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Connect to the Oracle server:
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Download All files
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ReadMe for futher information
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First, run createDW.sql to construct the star schema
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Second, run INLJ.sql
to perform extract records from the transaction,
transform these with master data,
then load these record to DW.
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Third, run queriesDW.sql for the DW analysis 2017
To see the highest sale in the whole year
To see three supplier names in Aug 2016 in terms of total sales
To determine 3 store names in Aug 2016 in terms of total sales
To see how many sales transaction for the product that generates max sales in 2016
To present quarterly sale analysis for all products using drill-down query concepts
To create a materialised view with name "STOREANALYSIS_MV" to present product-wise sales for each store
To see other information retrieved from Q6 with rollup
To see other information retrieved from Q6 with cube concept