Abstract
This study highlights the role of data fabric in modern data ecosystems, especially in data integration and management. Recent developments in technology around automation and machine learning have been discussed herein. Researchers point toward several use cases across different verticals to indicate the breadth of the data fabric. It shows pain points with legacy systems and skilled personnel resources to convey scalability. Thematic analysis is employed to identify key themes regarding the challenges of integration, benefits of automation, and industry specific applications. The overall theme the study wraps up is that data fabric has a pivotal role to play in organisations intending to manage data efficiently in a complex environment. Further research needs to be done to overcome the limitations that exist in this field to get the maximum benefit out of data fabric.
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