17936510. SYSTEMS AND METHODS FOR DATA TRANSFORMATION simplified abstract (Capital One Services, LLC)

SYSTEMS AND METHODS FOR DATA TRANSFORMATION

Organization Name

Capital One Services, LLC

Inventor(s)

Komal Krishna Pandamaneti of Frisco TX (US)

Sriram Srinivasan of Frisco TX (US)

Lavanya Raja of Frisco TX (US)

Sairam Kommireddy of Frisco TX (US)

Maria Rabinowitz of Arlington VA (US)

Steven W. Braskamp of Dallas TX (US)

Steven G. Chiagouris of Plano TX (US)

Jason E. Lines of Prosper TX (US)

Arjun Dugal of Dallas TX (US)

Brittany Nicole Geron Courtney of Celina TX (US)

SYSTEMS AND METHODS FOR DATA TRANSFORMATION - A simplified explanation of the abstract

This abstract first appeared for US patent application 17936510 titled 'SYSTEMS AND METHODS FOR DATA TRANSFORMATION

Simplified Explanation

The patent application describes systems and methods for transforming data from a batch-based legacy software program into data suitable for processing by a streaming-based new software program. Here are some key points to explain the innovation:

• The system generates an information stream for multiple threads from batch information received from the legacy software program.
• The system processes the information stream for the multiple threads using the new software program.
• If there is a mismatch between outputs of the legacy and new software programs for at least one thread, the system adjusts a data model of the new software program to address the mismatch and generates an updated information stream for processing by the new software program.

1. 1. 1. Potential Applications

This technology could be applied in industries where there is a need to transition from batch processing to real-time streaming data processing, such as finance, healthcare, and manufacturing.

1. 1. 1. Problems Solved

This technology solves the problem of efficiently converting data from a batch-based system to a streaming-based system without losing information or causing errors in processing.

1. 1. 1. Benefits

The benefits of this technology include improved data processing speed, accuracy, and efficiency, as well as the ability to adapt to changing data requirements without significant manual intervention.

1. 1. 1. Potential Commercial Applications

Potential commercial applications of this technology include data analytics platforms, real-time monitoring systems, and automated decision-making tools.

1. 1. 1. Possible Prior Art

One possible prior art for this technology could be systems that perform data transformation between different software programs, but not specifically tailored for transitioning from batch to streaming data processing.

1. 1. 1. 1. Unanswered Questions

1. 1. 1. 1. How does this technology handle large volumes of data during the transformation process?

The patent application does not provide specific details on how the system manages large amounts of data during the transformation process.

1. 1. 1. 1. Are there any limitations to the types of legacy software programs that can be integrated with the new software program using this technology?

The patent application does not mention any restrictions or limitations on the compatibility of different types of legacy software programs with the new software program through this transformation process.

Original Abstract Submitted

Systems and methods for transforming data for a batch-based legacy software program into data suitable for processing by a streaming-based new software program. In some aspects, the system generates an information stream for multiple threads from batch information received from the legacy software program. The system processes the information stream for the multiple threads using the new software program. If there is a mismatch between outputs of the legacy and new software programs for at least one thread, the system adjusts a data model of the new software program to address the mismatch and generates an updated information stream for processing by the new software program.