Since it came about in its current form in the early-to-mid 2000s, service-orientation (mainly focused on applications) has existed in a separate world from data management. Problem is, an SOA-enabled ...

Generative artificial intelligence disrupted the enterprise in 2023 and is now a must-have consideration in 2024 plans. With this in mind, technical professionals must strive to enhance and modernize ...

Why is data integration so difficult? For many organizations, data integration has been handled as a dark art over the years, implemented behind the scenes with ad hoc scripts, extract, transform, and ...

Within the information technology sector, the term architect gets thrown around quite a lot. There are software architects, infrastructure architects, application architects, business intelligence ...

Data integration is increasingly critical to companies’ ability to win, serve and retain their customers. Enterprises face increasing data integration challenges, primarily due to the growing volume ...

The Integration Architect: Administrative Applications is responsible for designing, implementing, and maintaining scalable and secure integration solutions across all non-clinical systems within the ...

Data Junction on Monday is announcing availability of Integration Architect and enhanced Integration Engines, with the goal of offering a single data integration platform for projects of all sizes.

While C-suite leaders say they're investing in agentic AI, the complex enterprise architectures of large organizations often struggle with the tech’s demands. Closing the gap requires tech leaders to ...

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. When I speak with ...

Over the past decade, the data boom has created exciting strategic opportunities for adaptive companies and enabled the development of entirely new enterprises. This wave was the result of the ...