data warehouse , SQL Statemnts

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1. CREATE the following tables: PRODUCT_COPY (PRODUCT_ID, PRODUCT_NAME, CATEGORY_ID, SUPPLIER_ID) by SELECTing rows from the OE.PRODUCT_INFORMATION table. CATEGORY_COPY by SELECTing rows from the OE.CATEGORY_TAB table. 2. Use the CREATE and SELECT statements to create a Denormalized table called T_PRODUCT by natural-joining PRODUCT_COPY and CATEGORY_COPY. T_PRODUCT has the columns: PRODUCT_ID, PRODUCT_NAME, CATEGORY_ID, CATEGORY_NAME, PARENT_CATEGORY_ID, PARENT_CATEGORY_NAME, SUPPLIER_ID Display the entire content of the T_PRODUCT table. (You should get as many rows as in the PRODUCT_COPY table). In which Normal form is T_PRODUCT? Justify your answer. Note that you have prepared the denormalized table T_PRODUCT to load a DW PRODUCT dimension. 3. Using the Multidimensional model concepts/Terminology, what are the Analysis-level columns and the Weak-attributes in T_PRODUCT? Part II. Split table 4. Use the CREATE and SELECT statements to split the OE.ORDERS table into two sub-tables you call: A. ORDERS_DIRECT (ORDER_ID, ORDER_YEAR, ORDER_MODE, SALES_REP_ID) containing rows such as ORDER_MODE = 'DIRECT' and having NOT NULL SALES_REP_ID (Use TO_CHAR, TO_NUMBER functions) a. Display the table content. You should get 70 rows. b. Check that the ORDER_MODE values are correct regarding the condition in the 'query- Where'. C. Remove the ORDER_MODE column from ORDERS_DIRECT. B. ORDERS_ONLINE (Same columns as ORDERS_DIRECT) containing rows such as ORDER_MODE = ONLINE a. Display the table content. You should get 32 rows. b. Check that the ORDER_MODE values are correct regarding the condition in the 'query- Where' 7 IP CCDS-221 Data Warehouse c. Remove the ORDER_MODE and SALES_REP_ID columns from ORDERS_ONLINE Optional question. 5. In the same way, split the CUSTOMERS table into two tables having the same structure as CUSTOMERS, one table for Male customers (GENDER = 'M') and one for Females (GENDER = "F"). Part III. Merge tables Merge is the opposite of Split. It uses the UNION operator. The tables to merge must be compatible, i.e. have the same number of columns with compatible data types respectively. 6. Create two compatible tables issued from the tables in the DB you are using and merge their contents. congratulations, you have practiced your skills and acquired practices in ETL. You can now go further in this ETL process (next labs)