American Express Travel Related Services Company, Inc.

Balaji Balaraman

Andras L Ferenczi

Harish R Naik

Nilesh Yashavant Jadhav

Dallas L Gale

Sastry Vsm Durvasula

Sathish B Muthukrishnan

Sandeep Bose

Arindam Chatterjee

Nitish Sharma

Shubham Arora

Manoj Kumar Rana

Ashish Kumar

Sastry V S M Durvasula

Jitendra Singh Dikhit

Shivakumar Chandrashekar

Neha Singh

Priya Narayana

Systems and methods for transaction authorizations using a distributed database are disclosed. The system may allow registered transaction account holders and merchants to interact and complete transactions according to workflows enforced by smart contracts. The system may include an issuer system that receives a transaction authorization request comprising a merchant ID, a transaction account number, a transaction amount, and a transaction ID. The issuer system may retrieve a merchant public key and a smart contract based on the merchant ID, and a user public key based on the transaction account number. The issuer system may invoke the smart contract by passing the user public key and the transaction ID to the smart contract. The system may propagate transaction data (e.g., the merchant ID, the transaction account number, the payment amount, a transaction status, etc.) to a blockchain network for writing to a blockchain according to the invoked smart contract.

Transaction authorization process using blockchain

A single sign-on system using blockchain is disclosed. The single sign-on system may interconnect various organization systems over a peer-to-peer network, with each organization system having a blockchain node and an application programming interface (API). The blockchain node invokes and uses a smart contract to write registration credentials to the blockchain during a registration process. During a login process, the blockchain node invokes the smart contract to determine whether login credentials match stored login credentials in the blockchain. In response to matching login credentials, the API may generate a single sign-on token that can be used by a user device to access one or more organization systems connected over the network.

Single sign-on solution using blockchain

A system may deliver personalized content to a user. The system may create a user persona based on demographic information and stored clickstream data of the user. The system may learn which functionalities the user typically uses on a webpage, and the system may create a personalized version of the webpage for the user.

Personalization using clickstream data

A system may receive a query configured to access a column in a data table. The data table may be in a flat file in a big data storage format. The system may detect the language type of the query and validate the query against the syntax of the language type. The system may also validate an access permission for data in the data table. The access permission may be stored in a permissions database. The system may generate a temporary table including the column with the temporary table configured to support the language type. The system may execute the query against the temporary table to generate a query result based on the temporary table as though it were the underlying data table. The system may enforce column-level or row-level access permissions by excluding columns or rows from the temporary table.

Converting a language type of a query

A system for integrating blockchain-enabled shared datasets across databases having varying formats and structures is disclosed. The system may include various entity systems in communication via a peer-to-peer network. A first entity system may receive a dataset update request to update the shared dataset. The first entity system may broadcast the dataset update request across the network, and one or more entity systems connected to the network may consent to the dataset update request. The consenting entity systems may broadcast the consented dataset update request to the other entity systems connected to the network. Each entity system may update its local copy of the shared dataset with the consented dataset update request. Each entity system may comprise a mapping module configured to reformat the consented dataset update request into a format that can be stored in a local data structure.

Blockchain-enabled datasets shared across different database systems

A system may read an input file having an input file size and including a first record and a second record. The first and second record may each have a record length. The system may parse the input file into a first split file and a second split file, with the first split file including the first record and the second split file including the second record. The system may distribute the first split file to a first node to generate a first output file and the second split file to a second node to generate a second output file. Any number of additional split files may be distributed to generate any number output files. The system may combine the output files to generate a converted data file.

Systems and methods for processing binary mainframe data files in a big data environment

Systems and methods for access control over changing big data structures

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Bengaluru, India

Balaji Balaraman