Embracing modern architecture is now a necessity for staying competitive and innovative. Automation of high-quality data is at the forefront of modern data architecture, with security and flexibility ...

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 ...

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 ...

The proliferation of data sources, types, and stores is increasing the challenge of combining data into meaningful, valuable information. The need for faster and smarter data integration capabilities ...

Enterprises that wish to remain relevant in their respective markets are embracing big data, including its benefits and challenges. Data integration plays a key role in big data as it allows ...

AI and data integration are no longer siloed entities; they are dynamic forces converging to reshape industries. AI, with its ability to analyze vast datasets and derive actionable insights, can ...

How to create a data integration strategy for your organization Your email has been sent Despite the global digital acceleration of data use cases, many companies still struggle to be data-driven.

It is easy to come out of a presentation on “big data” these days thinking that the future of manufacturing information technology (IT) is a combination of three things: connected machines, data ...