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Two Banks Bank A and Bank B getting into merger as one single bank BANK X. Both these banks (A & B) have been maintaining

Two Banks Bank A and Bank B getting into merger as one single bank BANK X. Both these banks (A & B) have been maintaining customer data in their own respective formats (refer TABLE 1). After the merger BANK X will have to maintain the customer data of both the banks (A & B) in one format. You have been approached by them to design an efficient ETL framework.

  1. List what metadata will the Bank X extract from Bank A and Bank B. [3 marks]
  2. Explain in brief, what you will do (steps required) in Extraction, Transform and Load so as to meet the criteria of BANK X? [5 marks]

(HINT: You may need to work on how to get data from two different sources, removing of duplicates, merge it where ever required, create new column and develop into the new format and the storage location should be accessible to bank employees / consumers)

TABLE 1

Bank A - Sample Data
A/C no. Surname First Name Branch Code A/C Type Aadhar no. A/C open date Balance
533879425 Bomai Guru 235 Savings 124XXX568XXX 16-12-1996 50000
533965210 Krupa Sidram 367 Savings 65XX893XXX98 07-01-2007 75000
533821764 Hegde Seema 402 Savings 328X9X25XX7X 26-03-2001 150000
533558623 Chavala Shruti 268 Current 624XX657X971 19-11-2002 36000
533694521 Ali Zilnuma 684 Savings 7X5X9XX234X7 20-09-1998 42000

Bank B - Sample Data
First Name Surname Mobile no. A/C Type A/C no. Pin Code Customer_Since Available_Balance
Seema Hegde 970XXXX758 Current 411964875 125368 72 months 27000
Prasad Rao 981XXXX512 Savings 411357986 254986 88 months 54236
Guru Bomai 976XXXX480 Savings 411145893 127896 96 months 29563
John Busa 996XXXX499 Savings 411782459 254631 29 months 28963
Deepak Singh 989XXXX889 Current 411327154 372482 38 months 42789

Observation: Guru Bomai has a/c in both banks with same A/C type and Seema Hegde with different A/C type.

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