Data integration aims to provide a unified and consistent view of all enterprise wide data. The goal is to logically (and sometimes also physically) unify different data sources or data silos to ...

In other words, data orchestration is required. When considering the variety of ERP integration needs, common patterns emerge.

Enterprises are embracing modern data integration patterns to fuel digital transformation. Not just cost and performance but also agility, scalability, and productivity are on the list of key ...

Government agencies are contracting with Palantir to correlate disparate pieces of data, promising efficiency but raising ...

• It's hard to understand your data sources. • There’s an undeniable lag in data movement. • You need more lead time in designing and building data integration patterns. • You also need ...

This data integration tools list has some of the best-known and most powerful applications. Learn about top data integration tools.

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.

AI can improve data integration by automating and quickly accomplishing what used to be manual or time-consuming tasks.