18067871. GENERATION OF DATA TRANSFORMATIONS USING FINGERPRINTS simplified abstract (International Business Machines Corporation)

GENERATION OF DATA TRANSFORMATIONS USING FINGERPRINTS

Organization Name

International Business Machines Corporation

Inventor(s)

Nagarjuna Surabathina of Prakasam(dt) (IN)

Nitin Gupta of Saharanpur (IN)

Shramona Chakraborty of Howrah (IN)

Hima Patel of Bengaluru (IN)

Sameep Mehta of Bangalore (IN)

Ramkumar Ramalingam of Theni (IN)

Matu Agarwal of Bangalore (IN)

GENERATION OF DATA TRANSFORMATIONS USING FINGERPRINTS - A simplified explanation of the abstract

This abstract first appeared for US patent application 18067871 titled 'GENERATION OF DATA TRANSFORMATIONS USING FINGERPRINTS

Simplified Explanation:

This patent application describes a method, computer program product, and computer system for converting sets of source data with different formats into sets of target data with the same format.

Key Features and Innovation:

• Determining N source patterns that describe different formats of N sets of source data items.
• Determining a target format pattern for the target data items.
• Generating N graphs that describe transformations of the N source patterns to the target pattern.
• Each graph includes multiple transformation paths that map source strings to target strings.
• Selecting a single transformation path from the multiple paths for each source pattern.

Potential Applications: This technology can be applied in data integration, data migration, and data transformation processes across various industries.

Problems Solved: This technology addresses the challenge of converting data sets with different formats into a unified format efficiently and accurately.

Benefits:

• Streamlines the process of transforming data sets.
• Ensures consistency in data formatting.
• Increases data interoperability.

Commercial Applications: Data integration software companies can utilize this technology to enhance their products and services, catering to businesses that require seamless data transformation solutions.

Prior Art: Researchers can explore existing patents related to data transformation, data mapping, and data conversion techniques to understand the prior art landscape in this field.

Frequently Updated Research: Stay updated on advancements in data transformation algorithms, machine learning techniques for data mapping, and data integration tools to leverage the latest innovations in this technology.

Questions about Data Transformation Technology: 1. How does this technology improve data interoperability across different systems? 2. What are the potential challenges in implementing this data transformation method in large-scale enterprise systems?

Original Abstract Submitted

A method, computer program product, and computer system for transforming sets of source data having different formats into respective sets of target data having a same format. N source patterns are determined and respectively describe N different formats in which N sets of source data items are formatted, where N≥1. A target format pattern is determined and describes a target format in which a target data items are formatted. N graphs are generated and respectively describe transformations of the N source patterns to the target pattern. Each graph includes multiple transformation paths. Each transformation path transforms the source pattern to the target pattern in a manner that maps source strings in the source pattern to each target string in the target pattern. A single transformation path is selected from the multiple transformation paths resulting in N single transformation paths having been selected.