The query optimizer is a crucial component in a relational database system and is responsible for finding a good execution plan for a SQL query. For cloud database service providers, the importance of ...

Learn how to implement the Adadelta optimization algorithm from scratch in Python. This tutorial explains the math behind Adadelta, why it was introduced as an improvement over Adagrad, and guides you ...

Learn how to implement the Nadam optimizer from scratch in Python. This tutorial walks you through the math behind Nadam, explains how it builds on Adam with Nesterov momentum, and shows you how to ...

Abstract: In the interactive data exploration, approximate query processing (AQP) can be used to quickly return query results at the cost of accuracy. For online AQP, the sampler can be treated as an ...

Abstract: Quantum computing promises to solve difficult optimization problems in chemistry, physics and mathematics more efficiently than classical computers. However, it requires fault-tolerant ...

Query optimization is a critical technology that is common across all modern data processing systems. However, it is traditionally implemented in silos and is deeply embedded in different systems.

Embarcadero, a provider of multi-platform database tools, is adding more graphical capabilities to DB Optimizer to make it easier for developers and DBAs to do SQL profiling and tuning. DB Optimizer, ...