Abstract: In this paper, we present a translator from a relevant subset of SQL into relational algebra. The translation is syntax-directed, with translation rules associated with grammar productions; ...

SQL (Structured Query Language) is a fundamental skill for anyone working in data management, whether you're a database administrator, data analyst, or software developer. For professionals looking to ...

Every day, businesses depend on data to operate. Customer orders, quotes for new business, conversations around products, campaigns for marketing—pretty much every business process today is based on ...

In the field of structured data computing, SQL is still the most widely used working language, not only adopted by all relational databases, but also targeted by many new big data platforms. For a ...

As data analytics has become an important application for modern data management systems, a new category of data management system has appeared recently: the scalable linear algebra system. We argue ...

Linear algebra operations are at the core of machine learning. Multiple specialized systems have emerged for the scalable, distributed execution of matrix and vector operations. The relationship of ...

This SQL script is not converting to a functioning relational algebra statement: select distinct teaches.course_id from teaches join instructor on instructor.ID = teaches.ID where instructor.name = ...

Relational SQL databases, which have been around since the 1980s, historically ran on mainframes or single servers—that’s all we had. If you wanted the database to handle more data and run faster, you ...