Query processing and optimization are critical components of database management systems (DBMSs), as they directly influence the efficiency and performance of data retrieval operations. Recent ...

Caching functions as an essential business performance and cost efficiency tool for distributed architectures, far beyond its ...

Resource Description Framework (RDF) query processing and optimization underpin the efficient retrieval and manipulation of data within vast, interconnected datasets. At its core, these technologies ...

DGIST developed a new graph-based database partitioning method and its system implementation showed 4.2 times faster performance on average than Apacke Spark SQL DGIST developed a core technology that ...

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 ...

In a distributed database, the data systems are held in different physical locations but can be accessed by all computers on a system. Processing is also shared among the many nodes—a database ...

Distributed Query Processing - Execute individual queries across many machines in a PlexQ grid for MPP, yet automatically balance workloads across the grid during peak periods Logical Servers - Group ...

Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with content, and download exclusive resources. This article dives into the happens-before ...

“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 ...

IT organizations are always chasing better performance. This involves monitoring, tuning, and improving all aspects of the IT infrastructure, encompassing servers, networks, applications, desktops, ...