Dell products l.p. (20240346325). DYNAMIC DATABASE PARTITIONING USING ARTIFICIAL INTELLIGENCE TECHNIQUES simplified abstract

DYNAMIC DATABASE PARTITIONING USING ARTIFICIAL INTELLIGENCE TECHNIQUES

Organization Name

dell products l.p.

Inventor(s)

Barun Pandey of Bangalore (IN)

Saumyadipta Samantaray of Bangalore (IN)

Dipsikha Rabha of Bangalore (IN)

DYNAMIC DATABASE PARTITIONING USING ARTIFICIAL INTELLIGENCE TECHNIQUES - A simplified explanation of the abstract

This abstract first appeared for US patent application 20240346325 titled 'DYNAMIC DATABASE PARTITIONING USING ARTIFICIAL INTELLIGENCE TECHNIQUES

The abstract of this patent application describes methods, apparatus, and processor-readable storage media for dynamic database partitioning using artificial intelligence techniques.

• Identifying performance issues in a database by analyzing activity data related to the database.
• Determining partitioning actions to address the identified performance issues using artificial intelligence techniques.
• Performing automated actions based on the determined partitioning actions.

1. 1. 1. Potential Applications:

This technology can be applied in various industries where databases play a crucial role, such as finance, healthcare, e-commerce, and more.

1. 1. 1. Problems Solved:

This technology addresses the challenge of optimizing database performance by dynamically partitioning data based on real-time analysis of performance issues.

1. 1. 1. Benefits:

- Improved database performance - Enhanced scalability and efficiency - Automated problem-solving capabilities

1. 1. 1. Commercial Applications:

Dynamic database partitioning using artificial intelligence can be utilized by database management companies, cloud service providers, and businesses with large-scale data processing needs.

1. 1. 1. Prior Art:

Researchers and developers can explore prior art related to database partitioning, artificial intelligence in database management, and performance optimization techniques.

1. 1. 1. Frequently Updated Research:

Stay informed about the latest advancements in artificial intelligence for database management, dynamic partitioning strategies, and performance optimization algorithms.

1. 1. 1. 1. Questions about Dynamic Database Partitioning Using Artificial Intelligence:

1. How does dynamic database partitioning using artificial intelligence differ from traditional partitioning methods?

  - Dynamic database partitioning using artificial intelligence involves real-time analysis and automated decision-making, while traditional methods may rely on manual intervention and predefined rules.

2. What are the key considerations when implementing dynamic database partitioning using artificial intelligence?

  - Key considerations include data distribution, performance metrics, scalability requirements, and the selection of appropriate artificial intelligence techniques for analysis and decision-making.

Original Abstract Submitted

methods, apparatus, and processor-readable storage media for dynamic database partitioning using artificial intelligence techniques are provided herein. an example computer-implemented method includes identifying one or more performance issues associated with at least one database by processing activity data related to the at least one database; determining one or more partitioning actions to be carried out in connection with the at least one database by processing at least a portion of the activity data related to the one or more identified performance issues using one or more artificial intelligence techniques; and performing one or more automated actions based at least in part on the one or more determined partitioning actions.