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SQL is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS). It is particularly useful for handling structured data, i.e. data incorporating relations among entities and variables. SQL offers both a data definition language (DDL) and a data manipulation language (DML). The scope of SQL includes data insert, query, update and delete, schema creation and modification, and data access control.
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MySQL Retrospective - MySQL 3.20 - lefred blog: tribulations of a MySQL Evangelist
To further advance the MySQL Retrospective in anticipation of the 30th Anniversary, today, let's discuss the very first version of MySQL that became availble to a wide audient though the popular InfoMagic distribution: MySQL 3.20! In 1997, InfoMagic incorporated MySQL 3.20 as part of the RedHat Contrib CD-ROM (MySQL 3.20.25).…
MySQL Retrospective – ISAM & MyISAM Log - lefred blog: tribulations of a MySQL Evangelist
Let's stay a bit longer with MySQL 3.2x to advance the MySQL Retrospective in anticipation of the 30th Anniversary. The idea of this article was suggested to me by Daniël van Eeden. Did you know that in the early days, and therefore still in MySQL 3.20, MySQL used the ISAM…
Meet LOTUS 1.0.0: An Advanced Open Source Query Engine with a DataFrame API and Semantic Operators - MarkTechPost
Modern data programming involves working with large-scale datasets, both structured and unstructured, to derive actionable insights. Traditional data processing tools often struggle with the demands of advanced analytics, particularly when tasks extend beyond simple queries to include semantic understanding, ranking, and clustering. While systems like Pandas or SQL-based tools handle relational data well, they face challenges in integrating AI-driven, context-aware processing. Tasks such as summarizing Arxiv papers or fact-checking claims against extensive databases require sophisticated reasoning capabilities. Moreover, these systems often lack the abstractions needed to streamline workflows, leaving developers to create complex pipelines manually. This leads to inefficiencies, high