D&A leaders should understand the key pillars of data fabric architecture to realize a machine-enabled data integration.
Data management agility has become a mission-critical priority for organizations in an increasingly diverse, distributed, and complex environment. To reduce human errors and overall costs, data and analytics (D&A) leaders need to look beyond traditional data management practices and shift toward modern solutions like AI-enabled data integration
“The emerging design concept called “data fabric” can be a robust solution to ever-present data management challenges, such as the high-cost and low-value data integration cycles, frequent maintenance of earlier integrations, the rising demand for real-time and event-driven data sharing and more,” says Mark Beyer, Distinguished VP Analyst at Gartner.