“SQL on everything” is the tagline associated with Presto, the query engine that was initially developed by Facebook to rapidly analyze massive amounts of data — particularly data that lay scattered ...

Overview: Polars pairs a Rust engine with column-based storage and multi-core execution to cut wasted work in Python ...

Query optimisation in distributed database systems addresses the challenge of selecting an efficient execution plan across multiple networked nodes. Owing to the combinatorial explosion of possible ...

This book aims to give you the tools and knowledge to get peak performance from your queries, how does it fare? The book, which is largely an update to the author’s Microsoft SQL Server 2014 Query ...

Prior to SQL Server 2017, query processing was a monolithic process. The SQL Server query optimizer would first construct a query plan for a batch of T-SQL code, a stored procedure, or function and ...

In part 1 of my SQL Server 2022 features series, you learned about the improvements to the cardinality estimator component of query optimization. In this installment, you will learn about another ...

Generative engine optimization (GEO) represents a shift from optimizing for keyword-based ranking systems to optimizing for how generative search engines interpret and assemble information. While the ...

This chapter excerpt on Parallel SQL (download PDF) is taken from the book Oracle Performance Survival Guide: A Systematic Approach to Database Optimization. Get pertinent information on optimizing ...

Query processing and optimisation form the backbone of relational database management, transforming high‐level declarative requests into efficient execution strategies. The pipeline begins with ...