Today, the need for extreme data processing speed and scale requirements is spreading to an ever-greater number of companies in a larger number of industries.

Digital integration hubs (DIHs), which are a type of Smart Data Hub, are increasingly being used as high-performance data access layers that provide real-time access to data from across the ...

Data hubs are a practical way of integrating key data across multiple transaction-processing applications. Their purpose is to support operational integration across all or a subset of the enterprise.

Data hubs — also called data repositories or master data records — are the next evolutionary step in solving the problem of data integration. The idea stems from the fact that traditional ways ...

Many things, like data catalogs and smart data hubs managers, ultimately help preserve the existing cacophony of independent data models if there isn't ultimately a target canonical model that ...

Data lakes were built for big data and batch processing, but AI and machine learning models need more flow and third party connections. Enter the data hub concept that'll likely pick up steam.

MarkLogic on Tuesday announced a new version of its data integration platform expressly for the pharmaceutical industry. The MarkLogic Pharma Research Hub is designed to help researchers quickly ...

Q&A: Peter Heller, Oracle senior director of Customer Data Hubs, elucidates the potential value and current implementation of the technology.

Open Data Hub offers different capabilities for different data personas The meta operator is a piece of code developed by Red Hat engineers that allows the specific open source project to integrate ...