Technologies for conversion of mainframe files for big data ingestion

1. A method for migrating data files from an acquirer computing system including a mainframe computing system to a computer cluster, the method comprising:

receiving, at a point of sale (POS) device, indication of a payment vehicle interacting with the POS device to initiate a payment vehicle transaction, the payment vehicle associated with an account holder, and the POS device associated with a merchant;

receiving, by the POS device, payment vehicle data from the payment vehicle, the payment vehicle data including identifying information of the account holder;

sending, by the POS device to the acquirer computing system, an authorization request, the authorization request including the payment vehicle data and identifying information of the payment vehicle transaction;

sending, by the acquirer computing system, the authorization request to a payment network;

sending, by the payment network, an authorization response to the acquirer computing system based on the authorization request;

sending, by the acquirer computing system, an authorization result to the POS device based on the authorization response;

completing, by the POS device, the payment vehicle transaction based on the authorization result;

receiving, from the POS device, electronic payment transactional data, the electronic payment transactional data comprising: i) a first data format composed of Extended Binary Coded Decimal Interchange Code (EBCDIC), and ii) transaction parameters associated with the completed payment vehicle transaction, wherein the transaction parameters include the payment vehicle data and loyalty account information of the account holder;

storing, by the acquirer computing system, the electronic payment transactional data in a database of a first logical partition of the mainframe computing system, the mainframe computing system being a component of the acquirer computing system;

generating, by the mainframe computing system, an input file based on the electronic payment transactional data stored in the database of the mainframe computing system;

landing, by the mainframe computing system, the input file in a second logical partition of the mainframe computing system, the second logical partition being a subset of a hardware resource of the mainframe computing system virtualized as a separate computer from the first logical partition;

generating, by a mainframe utility of the second logical partition of the mainframe computing system and based on the landing of the input file in the second logical partition, an output file in the second logical partition, wherein generating the output file comprises converting, by the mainframe utility of the second logical partition of the mainframe computing system prior to transmitting the output file to a computer cluster, the first data format of the input file to a second data format composed of American Standard Code for Information Interchange (ASCII) code as the output file in the second logical partition of the mainframe computing system;

encrypting, by the mainframe utility of the second logical partition of the mainframe computing system, the output file in the second logical partition of the mainframe computing system;

transmitting, by a file transfer utility of the mainframe computing system and based on the encrypting, the output file from the second logical partition of the mainframe computing system to an ingestion component of the computer cluster; and

processing, by the computer cluster, the output file received from the second logical partition of the mainframe computing system in ASCII code, wherein the processing includes using distributed processing across a plurality of data nodes of the computer cluster to perform one or more analytic operations, the one or more analytic operations based at least in part on the electronic payment transactional data.

2. The method of claim 1 , further comprising:

compressing, by the mainframe computing system, the output file prior to transmitting the output file to the ingestion component of the computer cluster.

3. The method of claim 2 , wherein the output file is compressed based on a determination of a size of the output file exceeding a size threshold.

4. The method of claim 1 , wherein the mainframe utility comprises operations performed by DFSORT on the mainframe computing system.

5. The method of claim 1 , wherein the computer cluster comprises a Hadoop cluster separate from the mainframe computing system.

6. The method of claim 1 , wherein the input file comprises settlement data for each of a plurality of payment vehicle transactions.

7. The method of claim 1 , wherein the transmitting the output file from the mainframe computing system to the ingestion component of the computer cluster comprises a point-to-point data exchange.

8. A system comprising a point of sale (POS) device, an acquirer computing system including a mainframe computing system, a payment network, and a computer cluster, the system configured to:

receive, by the POS device, an indication of a payment vehicle interacting with the POS device to initiate a payment vehicle transaction, the payment vehicle associated with an account holder;

receive, by the POS device, payment vehicle data from the payment vehicle, the payment vehicle data including identifying information of the account holder;

send, by the POS device to the acquirer computing system, an authorization request, the authorization request including the payment vehicle data and identifying information of the payment vehicle transaction;

send, by the acquirer computing system, the authorization request to the payment network;

based on the authorization request, send, by the payment network, an authorization response to the acquirer computing system;

based on the authorization response, send, by the acquirer computing system, an authorization result to the POS device;

based on the authorization result, complete, by the POS device, the payment vehicle transaction;

receive, by the acquirer computing system from the POS device, electronic payment transactional data, the electronic payment transactional data comprising: i) a first data format composed of Extended Binary Coded Decimal Interchange Code (EBCDIC), and ii) transaction parameters associated with the completed payment vehicle transaction, wherein the transaction parameters include the payment vehicle data and loyalty account information of the account holder;

store, by the acquirer computing system, the electronic payment transactional data in a database of a first logical partition of the mainframe computing system;

generate, by the mainframe computing system, an input file based on the electronic payment transactional data stored in the database of the mainframe computing system;

land, by the mainframe computing system, the input file in a second logical partition of the mainframe computing system, the second logical partition being a subset of a hardware resource of the mainframe computing system virtualized as a separate computer from the first logical partition;

based on the landing of the input file in the logical partition, generate, by a mainframe utility of the second logical partition of the mainframe computing system, an output file in the second logical partition, wherein the generating of the output file comprises converting, by the mainframe utility of the second logical partition of the mainframe computing system prior to transmitting the output file to a computer cluster, the first data format of the input file to a second data format composed of American Standard Code for Information Interchange (ASCII) code as the output file in the second logical partition of the mainframe computing system;

encrypt, by the mainframe utility of the second logical partition of the mainframe computing system, the output file in the second logical partition of the mainframe computing system;

based on the encrypting, transmit, by a file transfer utility of the mainframe computing system, the output file from the second logical partition of the mainframe computing system to a big data ingestion component of the computer cluster; and

process, by the computer cluster, the output file received from the second logical partition of the mainframe computing system in ASCII code, wherein the processing includes using distributed processing across a plurality of data nodes of the computer cluster to perform one or more analytic operations, the one or more analytic operations based at least in part on the electronic payment transactional data.

9. The system of claim 8 , wherein the system is further configured to:

compress, by the mainframe computing system, the output file prior to transmitting the output file to the big data ingestion component of the computer cluster.

10. The system of claim 9 , wherein the compression of the output file is based on a determination of a size of the output file exceeding a size threshold.

11. The system of claim 8 , wherein the mainframe utility comprises operations performed by DFSORT on the mainframe computing system.

12. The system of claim 8 , wherein the input file comprises settlement data for each of a plurality of payment vehicle transactions.

13. The system of claim 8 , wherein the transmitting of the output file from the mainframe computing system to the big data ingestion component of the computer cluster comprises a point-to-point data exchange.

14. The system of claim 8 , wherein the computer cluster comprises a Hadoop cluster.

15. The system of claim 14 , wherein the acquirer computing system comprises the Hadoop cluster.