Discover how Sarvesh Kumar Gupta's innovative distributed database pipeline transformed financial data processing, maximising ...

A large body of work has been accomplished in distributed algorithms that is relevant in moving toward distributed query processing and query optimizers for large scale-out architectures.

Apache Pinot is an open-source, distributed database for customer-facing, real-time analytics, ingesting data from various sources and executing queries using SQL. It is implemented in Java.

But Big Data's not all about MapReduce. There’s another computational approach to distributed query processing, called Massively Parallel Processing, or MPP.

Distributed query processing: a query—or request to read large data sets—enters at a client level and is processed and optimized on the global level.

Sybase IQ 15.3 Beta Customers See up to 12 Times Performance Improvement with Distributed Query Processing PR Newswire DUBLIN, Calif., July 7, 2011 ...

Facebook Open Sources Presto Distributed SQL Query Engine for Big Data. By David Ramel; November 7, 2013; ... Traverso said. Key to the performance boost are in-memory processing and improved ...

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

Blockchain can be inefficient in terms of data processing and query performance. Source: MDPI Another reason data queries are inefficient is the linear storage of data in blockchain networks.