18045192. Dynamic schema identification to process incoming data feeds in a database system simplified abstract (Bank of America Corporation)
Contents
- 1 Dynamic schema identification to process incoming data feeds in a database system
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 Dynamic schema identification to process incoming data feeds in a database system - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Unanswered Questions
- 1.11 Original Abstract Submitted
Dynamic schema identification to process incoming data feeds in a database system
Organization Name
Inventor(s)
Raja Arumugam Maharaja of Chennai (IN)
Dynamic schema identification to process incoming data feeds in a database system - A simplified explanation of the abstract
This abstract first appeared for US patent application 18045192 titled 'Dynamic schema identification to process incoming data feeds in a database system
Simplified Explanation
The abstract describes a patent application where a data manager receives a data layout, classifies it, compares it with existing layouts, detects matching attributes and datasets, generates a new layout, and loads a data warehouse from it.
- The data manager receives a data layout from a source.
- The layout is classified as belonging to a specific data domain.
- The manager compares this layout with existing layouts in the same domain.
- Matching attributes and datasets are identified.
- A new layout is generated by replacing the matched attributes and datasets.
- The data warehouse is then loaded from this new layout.
Potential Applications
This technology could be applied in various industries such as finance, healthcare, and retail for efficient data management and integration.
Problems Solved
1. Streamlining data integration processes. 2. Enhancing data warehouse management.
Benefits
1. Improved data organization. 2. Time and cost savings in data management. 3. Enhanced data warehouse efficiency.
Potential Commercial Applications
Optimizing Data Integration for Enhanced Business Intelligence
Possible Prior Art
One possible prior art could be the use of data integration tools and software in the field of data management.
Unanswered Questions
How does this technology handle data security and privacy concerns?
This article does not address the specific measures taken to ensure data security and privacy in the data integration process.
What are the potential limitations of this technology in handling large volumes of data?
The article does not discuss any potential challenges or limitations that may arise when dealing with massive amounts of data in the integration process.
Original Abstract Submitted
A data manager receives a first data layout from a data source and classifies the first data layout as corresponding to a first data domain. The data manager compares the first data layout with one or more existing data layouts that are already classified as corresponding to the first data domain and detects that at least one attribute and corresponding dataset of the first data layout matches with a second attribute and corresponding second dataset from an existing data layout. Data manager generates a second data layout corresponding to the first data layout, wherein the second data layout is a copy of the first data layout with the at least one attribute and the corresponding dataset from the first data layout replaced by the second attribute and the second dataset from the first existing data layout. Data manager loads a data warehouse from the second data layout.
