DATA WAREHOUSE DESIGN2 Table of Contents Introduction:....................................................................................................................................3 1. Data Warehouse Bus Matrix:.......................................................................................................3 2. Star Schema for the Data Marts:..................................................................................................4 2.1 CAR RENT:...........................................................................................................................4 2.2 Driver Assign:........................................................................................................................5 2.3 Sell Item:................................................................................................................................5 2.4 Invoice Generation:................................................................................................................6 2.5 Promotion:..............................................................................................................................7 3. Fact Table, Granularity and Justification against Granularity:....................................................7 4. Justification and Attribute Hierarchy of the Dimension Tables:...............................................11 5. Data Warehouse Design Features:.............................................................................................15 6. Identification of Fields:..............................................................................................................15 Conclusion:....................................................................................................................................17 Bibliography:.................................................................................................................................18
DATA WAREHOUSE DESIGN3 Introduction: The data warehouse is the way of storing data in a central location, collected from various sources, and retrieving data from that storage. The Data Warehouses uses the data mining processes for efficient and accurate data retrieving. Warehouses have various data marts and fact tables. The fact tables act as the central table that connects the database with the others. 1. Data Warehouse Bus Matrix: Business processes Dimensions VEHICLE_TYPE VEHICLE CUSTOMER MEMBER_CLASS BOOKINGS DRIVER CONTRACTS RETURN_PROTOCO DATE_TABLE_TABL PRODUCT_PROMOT ITEMS SOLD_ITEM STORESS MEDIA_COMPANY Car RentPPPPPPPPP Drier AssignPPP Sell ItemPPPPP Invoice Generation PPPPPPPP PromotionPPPPPPPP
DATA WAREHOUSE DESIGN4 2. Star Schema for the Data Marts: 2.1 CAR RENT:
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DATA WAREHOUSE DESIGN5 2.2 Driver Assign: 2.3 Sell Item:
DATA WAREHOUSE DESIGN6 2.4 Invoice Generation:
DATA WAREHOUSE DESIGN7 2.5 Promotion: 3. Fact Table, Granularity and Justification against Granularity: Fact table nameFact granularityBrief justification Car_RENT_FACT_TABL E TotalCarRentThe proposed fact table stores the data of the totl amount of car rented in a
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DATA WAREHOUSE DESIGN8 time period TotalDamageCostThe proposed fact table storesthedataofthe total fine collected from customer for damage TotalEarnFromCustomerThe proposed fact table storesthedataofthe entireamountof businessdonewitha customer(s) DRIVER_ASSIGN_FACT _TABLE NoneThis table does not have any fact. This fact table shows the infroamtion of assigned driver for each rent ITEM_SALE_FACT_TA BLE TotalItemsSoldThe proposed fact table storesthedataofthe number of items sold for rent ProfitFromItemThe proposed fact table storesthedataofthe capitaltheorganization
DATA WAREHOUSE DESIGN9 hasmadebyselling items INVOICE_GENERATE_F ACT_TABLE TotalChargeOfRentThe proposed fact table storesthedataofthe entirecostofrent including digamma cost (if any) TotalRevenueThe proposed fact table storesthedataofthe totalrevenueofthe organizationbasedon year(s) PayInvoiceFailAmoiuntThe proposed fact table storesthedataofthe amount of capital is due for payment TotalTaxPercentageThepercentageoftax collected from customer for each rent PROMOTION_FACT_TA BLE PromotionCostThe proposed fact table stores the data of the cost ofpromotingthe
DATA WAREHOUSE DESIGN10 business PromotionSuccessThe proposed fact table storesthedataofthe capitalmadefrom promoting the business RentAmountThe proposed fact table storesthedataofthe quantity of cars rented in a specific time period MediaCompanyProfitThe proposed fact table storesthedataofthe howmuchorganization hasprofitedfrom advertisingthrougha media company PromotionDurationThe proposed fact table storesthedataofthe durationofeach promotion
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DATA WAREHOUSE DESIGN11 4. Justification and Attribute Hierarchy of the Dimension Tables: Dimension table nameBrief justificationAttribute hierarchies VEHICLE_TYPEThe proposed dimension is designed to hold the data of types of vehicle availableatthe organization BOOKINGSThe proposed dimension is designed to hold the booking details like how the customer has booked the car RETURN_PROTOCOLThe proposed dimension isdesignedtohold policiesforreturninga vehicle
DATA WAREHOUSE DESIGN12 CONTRACTSThe proposed dimension isdesignedtoserveas theservicelevel agreementbetweenthe CarHireOZ and customer CUSTOMERThe proposed dimension is designed for recording all the customer details DATE_TABLEThe proposed dimension is designed to allow the warehousesystemto rectify data based on time period
DATA WAREHOUSE DESIGN13 MEMBER_CLASSThe proposed dimension isdesignedtoassigna priority to the customer STORESThe proposed dimension is designed to hold the physicalstore’sname, location, contact number and many more. ITEMSThe proposed dimension isdesignedtoallow organization to details of the items they sell VEHICLEThe proposed dimension is designed to hold the detailsofthevehicle present for rent
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DATA WAREHOUSE DESIGN14 PRODUCT_PROMOTIO N The proposed dimension is designed to hold the promotion related major details MEDIA_COMPANYThe proposed dimension is designed to allow the CarHireOZtohave mediacompanyrelated data DRIVERThe proposed dimension is designed to store the driver details
DATA WAREHOUSE DESIGN15 5. Data Warehouse Design Features: Design featureBrief descriptionBrief justification Factlessfact table The DRIVER_ASSIGN_FACT_TABL E is the fact less fact table in the warehouse design Thisfacttableonlyholdsthe informationofwhichdriveris assigned to which contract. Degenerate dimensions SalesOrderNumberisthe degenerateddimensioninthe warehouse design. SalesOrderNumberallowsthe organizationtoidentifytherent related data easily Bridge Dimension SOLDITEMdimensionhasbeen used as the bridge dimension. The SOLDITEM has been able to mitigate the issue of many to many relationshipamongtheassociated tables. Roleplaying dimensions Date_Dimensionand Customer_Dimensioncanbe considredasroleplaying dimensions Both of the dimensions have same roleineveryfacttabletheyare associated with 6. Identification of Fields: Question 1:
DATA WAREHOUSE DESIGN17 Car_RENT_FACT_TABLEregistrationKey,DateKey,contractKey, TotalCarRent VEHICLE_DIMENSIONVehicleModel CONTRACTS_DIMENSIONRent_Start_Date Question 7: INVOICE_GENERATE_FACT_TABLEbookingNO, customerKey CUSTOMER_DIMENSIONCustomerBirthdate BOOKING_DIMENSIONBookingType Question 8: NVOICE_GENERATE_FACT_TABLEcontractKey CONTRACTS_DIMENSIONContract_paymentmethod Conclusion: From the above study it can be concluded that the warehouse system is a powerful way of collecting and storing data. The data warehouse has been pressed accurately. The data warehouse considers all the business processes of CarhireOZ. The organization will benefit immensely after implementing the Warehouse.
DATA WAREHOUSE DESIGN18 Bibliography: Chevalier, M., El Malki, M., Kopliku, A., Teste, O. and Tournier, R., 2015, April. How can we implement a Multidimensional Data Warehouse using NoSQL?. In International Conference on Enterprise Information Systems (pp. 108-130). Springer, Cham. Dembczynski, K., 2015. Data Integration and ETL Process. George, J., Kumar, V. and Kumar, S., 2015. Data Warehouse Design Considerations for a Healthcare Business Intelligence System. In World Congress on Engineering. Hamoud, A.K., Adday, H., Obaid, T. and Hameed, R.A., 2016. Design and Implementing Cancer Data Warehouse to Support Clinical Decisions. Lam,W.K.S., Sahama,T.and Gajanayake,R.,2016. ConstructingatraditionalChinese medicine data warehouse application. arXiv preprint arXiv:1606.02507. Rahman, L., Riyadi, S. and Prasetyo, E., 2015. Development of Student Data Mart Using Normalized Data Store Architecture. Advanced Science Letters, 21(10), pp.3225-3229. Vaisman, A. and Zimányi, E., 2014. Data warehouse systems. Springer, Heidelberg. Wang,J.andKourik,J.L.,2015.DataWarehouseSnowflakeDesignandPerformance Considerations in Business Analytics. ASBBS Proceedings, 22(1), p.472.