17978666. SYSTEM AND METHOD FOR MICROSERVICES TO MONOLITH - DATA SYNCBACK SOLUTION simplified abstract (JPMORGAN CHASE BANK, N.A.)

SYSTEM AND METHOD FOR MICROSERVICES TO MONOLITH - DATA SYNCBACK SOLUTION

Organization Name

JPMORGAN CHASE BANK, N.A.

Inventor(s)

Shariq Javed of Mumbai (IN)

Ravi Pasupuleti of Mumbai (IN)

Sriram Balasubramaniam of Mumbai (IN)

Ashok Jha of Thane (IN)

Pushkar Deshpande of Mumbai (IN)

Harsha Ravella of Hyderabad (IN)

Kunal Sharma of Mumbai (IN)

Vini Pandya of Dewas (IN)

Charles Hannum Iv of Chalfont PA (US)

Nikhil Patkar of Mumbai (IN)

SYSTEM AND METHOD FOR MICROSERVICES TO MONOLITH - DATA SYNCBACK SOLUTION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17978666 titled 'SYSTEM AND METHOD FOR MICROSERVICES TO MONOLITH - DATA SYNCBACK SOLUTION

Simplified Explanation

The patent application describes a method for data migration readiness of a target data source, involving invoking APIs, updating source databases, generating mapping identifiers, and automatically updating target databases based on the mapping IDs.

• The processor triggers a process that calls an API to update the source database with changes to user profile data.
• A mapping ID is generated and stored in a predefined format in a mapping database.
• Another API call retrieves source table field details and mapping IDs to map source columns to target columns in a target database.
• The target database is automatically updated to match the updated data in the source database using the mapping ID.

Potential Applications

This technology could be applied in data migration processes for businesses looking to transfer data from one source to another efficiently and accurately.

Problems Solved

This technology solves the problem of manual data migration processes that are time-consuming, error-prone, and inefficient. By automating the data migration process, it reduces the risk of data loss or corruption.

Benefits

The benefits of this technology include increased efficiency, accuracy, and reliability in data migration processes. It saves time and resources by automating tasks that would otherwise be done manually.

Potential Commercial Applications

One potential commercial application of this technology is in data migration services for companies looking to transfer data between databases or systems seamlessly.

Possible Prior Art

One possible prior art for this technology could be existing data migration tools or software that automate the process of transferring data between databases. However, the specific method described in the patent application may offer unique features or improvements compared to existing solutions.

How does the technology handle data conflicts during the migration process?

The patent application does not provide details on how data conflicts, such as duplicate entries or mismatched data, are resolved during the migration process.

What security measures are in place to protect the data during migration?

The patent application does not mention any specific security measures or protocols implemented to ensure the data is secure during the migration process.

Original Abstract Submitted

Various methods, apparatuses/systems, and media for data migration readiness of a target data source are disclosed. A processor invokes, in response to triggering a process, an application programming interface (API) to call corresponding source application or microservice hosted on a source database; updates, by the source application or microservice, the source database to reflect the changes made to one or more fields data of user profile; generates a mapping identifier (ID) in response to updating the source database; stores the mapping ID onto a mapping database in a predefined format; invokes another API call to obtain source table field details of the updated source database and the mapping ID that maps source column of the source table to a corresponding target column of a target table of a target database; and automatically updates the target database to match the updated data of the source database based on the mapping ID.