US2021089534A1
|
|
System and method for dynamically reallocating resources among multiple task groups in a database system
|
US2021117422A1
|
|
Dynamically learning optimal cost profiles for heterogenous workloads
|
US2021117427A1
|
|
Caching objects from a data store
|
US2020379964A1
|
|
Automatically Defining Arrival Rate Meters
|
US2021004675A1
|
|
Predictive apparatus and method for predicting workload group metrics of a workload management system of a database system
|
US2021056106A1
|
|
Query expression repository
|
US2021034588A1
|
|
Physical database design and tuning with deep reinforcement learning
|
US2021034624A1
|
|
Property learning for analytical functions
|
US2021089529A1
|
|
Using materialized views to respond to queries
|
US2021034477A1
|
|
Transaction recovery from a failure associated with a database server
|
US2021034626A1
|
|
Assignment of objects to processing engines for efficient database operations
|
US2020401585A1
|
|
Spatial joins in multi-processing computing systems including massively parallel processing database systems
|
US2020183921A1
|
|
Enabling Cross-Platform Query Optimization via Expressive Markup Language
|
US2020183935A1
|
|
Optimizing the Execution Order between Analytical Functions and Joins in SQL Queries
|
US2020151575A1
|
|
Methods and techniques for deep learning at scale over very large distributed datasets
|
US2021034433A1
|
|
Automatic query routing
|
US2020110762A1
|
|
Methods and system for managing storage with multiple simultaneous data temperature models
|
US2020004758A1
|
|
Methods and system for optimal multi-environment data synchronization/replication
|
US2020151178A1
|
|
System and method for sharing database query execution plans between multiple parsing engines
|
US2020210387A1
|
|
Machine-Learning Driven Database Management
|