Organizations that treat data integration as a strategic business imperative, not just a technical challenge, will be the ...

Using the hub-and-spoke model of a centralized data hub, businesses can easily achieve their real-time data goals, says Hanadi Salameh, an Enterprise Digital Architect at Cognizant.

Who needs rewrites? This metadata-powered architecture fuses AI and ETL so smoothly, it turns pipelines into self-evolving ...

Data integration and data ingestion are two IT disciplines that are often confused. Here's how they differ and challenges you may encounter.

Data practitioners come across many challenges throughout the data management lifecycle. Let us learn about the most common day-to-day challenges we face and how to overcome them.

Integrating AI into your data integration flow can help to detect data patterns, which enables data integration operations to do the following: Assist in fraud detection or information manipulation; ...

But Genie is more than just a data integration layer. By allowing data to flow faster and more freely, it opens up all kinds of automation possibilities, especially when you combine it with ...

This data is not analyzed and largely thrown away today, however; this data has lots of intelligence in it and this is our market opportunity,” Vector Flow President and CEO Ajay Jain told ...

That data is valuable, ... “Fleets have brought it up, shippers have brought it up, everybody wants integration and wants the data to flow smoothly,” he said.

But then you can customize the architecture of the core to support data flow operations with the tight integration between the comms links and the processor.” Imperas CEO Simon Davidmann agreed, ...