In a modern enterprise data environment, the increasing volume of data, distributed architecture, and complex application dependencies challenge traditional query-tuning methods. Observability ...

Google’s Robby Stein shares new details about the query fan-out technique in AI Mode, explaining how Google generates and executes its own queries. Google’s query fan-out technique issues multiple ...

Abstract: In recent years, the integration of natural language processing (NLP) with database querying has led to the emergence of Text-to-SQL systems, which enable nontechnical users to interact with ...

What is the default strategy for planning and optimizing queries with joins: How does the engine decide the physical join type (e.g., sort-merge join vs. hash join)? How is the join order determined?

Join the event trusted by enterprise leaders for nearly two decades. VB Transform brings together the people building real enterprise AI strategy. Learn more Two popular approaches for customizing ...

Hello there! 👋 I'm Luca, a BI Developer with a passion for all things data, Proficient in Python, SQL and Power BI ...

The Automatic Tuner in the NVIDIA app finds the best overclock settings for the GPU and maintains that performance regularly. The Automatic Tuning feature is not ...

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Artificial Intelligence (AI) and Machine Learning (ML) are increasingly integral to database management, driving new levels of automation and intelligence in how data systems are administered. Modern ...

Abstract: In the contemporary world the size of database(s) is rising exponentially. Increased size of database inevitably necessitates performance maintenance in order that performance is enhanced or ...

Existing index tuners typically rely on the “what if” API provided by the query optimizer to estimate the execution cost of a query on top of an index configuration. Such cost estimates can be ...