Abstract: In this paper, we present the application of a massively parallel-processing graph database for rapid-response drug repurposing. The novelty of our approach is that the scalable graph ...

it is more common today for companies to maintain data warehouses that use relational databases with compressed columnar storage and massive parallel processing. Martin Heller is a contributing ...

The Control node hosts the distributed query engine, which optimizes queries for parallel processing, and then passes operations ... column to assign each row to a distribution. The following diagram ...

This monograph covers the design principles and core features of systems for analyzing very large datasets using massively-parallel computation ... analytics have evolved since the early work on ...

Database vendor Sybase is upgrading its column-oriented database, Sybase IQ, to run on a massively parallel processing (MPP) architecture. The company announced the beta of the new Sybase IQ ...

One such moment passed in the early ’90s when a computation technology called massively parallel processing (MPP ... companies now routinely work with databases measured in terabytes.

Azure Synapse Analytics is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms. [Dedicated SQL pool ...