Relational Databases TRIZ Cases
- Intelligent Communication Screening for Spam Restriction
An intelligent communication screening system intercepts messages to classify senders using entity databases.
- Smart Disaggregated Memory for Object Store Offloading
Smart disaggregated memory identifies object semantics via machine learning, reducing network bandwidth usage while scaling distributed client access.
- Dictionary-Based Join Aggregation Using Dense Grouping Keys
Column dictionaries map join keys to dense grouping structures, reducing memory consumption during large-scale database operations.
- Multi-Cluster Catalog Service for Hybrid Cloud Replication
Catalog service reduces latency and bandwidth costs by pre-fetching data into local caches, eliminating real-time network transfers during workload migration.
- AI Model for Erroneous Cell Detection in Large Datasets
An AI model identifies erroneous cells by analyzing row relationships, preventing garbage data output in large databases.