Denormalize Transactional Data using Informatica

Let’s de-normalize transactional data.
Here is the input:

1COOKING BOOKS12.506/07/2013 10:57:10
1MEDICAL BOOKS120.506/07/2013 10:57:10
1TRAVEL BOOKS10.506/07/2013 10:57:10
2FOOD PROCESSOR12.506/07/2013 10:57:10
2INTELLIGENT OVEN120.506/07/2013 10:57:10
2SAFE10.506/07/2013 10:57:10
3CLOTHING12555.2506/07/2013 10:57:10
3CAR VACUUM15520.4506/07/2013 10:57:10
3HOTEL PASS1550.5506/07/2013 10:57:10
3MAGAZINE1110.5606/07/2013 10:57:10
4ZOO PASS110.406/07/2013 10:57:10

Here is the output:
The table is quite wide so you can download it as csv.

Here is the mapping overview:
SQ ==> EXP ==> AGGR ==> TGT


Step 1:

Step 2:
In EXP_SetSequenceNumbers create three variables as follow:

  1. currCustomer_v ==> to_char(CUSTOMER_ID)
  2. Seq_v ==> IIF(currCustomer_v != prevtCustomer_v , 1 ,  Seq_v + 1  ). Each time we get a new customer_id the Seq get reset to 1 otherwise it will increment by 1.
  3. prevtCustomer_v ==>to_char(CUSTOMER_ID)

Make sure that prevtCustomer_v is below currCustomer_v and Seq_v as in the following pic:


Step 3:
In AGG_DenormalizeOrders make sure that the following is set:

  1. Sorted input is checked.
  2. Group by is checked for Customer_ID
  3. Create outputs to house ProductName, ProductPrice and TransactionDate
  4. For each sequence select the value of seq. For instance, ProductName3 select FIRST( PRODUCT_NAME, seq = 3) etc…

For better understanding please see pic below:



Step 5:
Connect the aggregator to the target.

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