Query compilation and execution form the critical backbone of database systems, where high-level queries are translated into efficient low-level machine code and then executed to retrieve data.

A new generation of graph databases has taken hold, and a generation of query languages has arrived alongside them. The assorted graph database query languages include the likes of Gremlin, Cypher, ...

The rapid expansion of data volumes in modern applications has intensified the need for efficient methods of storing and retrieving information. Contemporary research in data compression focuses on ...

How to query a LibreOffice database using the Query Design View Your email has been sent LibreOffice contains a very powerful database tool that is actually quite user friendly. Here's how to create a ...

Key-value, document-oriented, column family, graph, relational… Today we seem to have as many kinds of databases as there are kinds of data. While this may make choosing a database harder, it makes ...

One way to slow down your application is to make multiple trips to the database. Here's a way to cut those trips in half (at least) and it has to do with the EntityFramework.Extended library. In an ...

As developers look to harness the power of AI in their applications, one of the most exciting advancements is the ability to enrich existing databases with semantic understanding through vector search ...

Originally, Excel was not designed to be a real database. Its early database functions were limited in quantity and in quality. And because every record in an Excel database is visible on the screen ...

Across most database types, in-use encryption is a sticking point when it comes to security and scalability. In-transit and at-rest data encryption are becoming table stakes for most large modern ...

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