Built-in functions, UDFs, materialized results, and integrations with ML and AI models make streaming SQL a compelling choice when building microservices. “It is tempting, if the only tool you have is ...
I am a Backend Developer and Software Engineer with a solid background in Artificial Intelligence in academic and professional fields, looking forwa ...
Abstract: SQL query optimization aims to choose an optimal Query Execution Plan (QEP) for a query. The existing optimizers usually choose the plan with the minimal execution cost. However, in some ...
The code for calculating CSV files in Java is too cumbersome, and relying on databases can lead to complex structures. esProc provides JDBC drivers and computation libraries, which can embed SPL ...
Abstract: Point-supervised Temporal Action Localization (PS-TAL) detects temporal intervals of actions in untrimmed videos with a label-efficient paradigm. However, most existing methods fail to learn ...
AI is transforming everything we do, including how we interact with data. Data is the fuel for AI. Microsoft SQL Server and Azure SQL is the data platform to power today’s modern applications with ...
Even if generative AI hides SQL behind the curtain, it will continue to play a critical role in how we interact with and use data. In May 1974, Donald Chamberlin and Raymond Boyce published a paper on ...
Script that reads a CSV file and constructs a SQL query string that inserts every row of this file into an SQL database -- you can also connect to an PostgreSQL database (by default) and actually run ...
We describe a technique and a tool called Qex for generating input tables and parameter values for a given parameterized SQL query. The evaluation semantics of an SQL query is translated into a ...
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