Data fabric combines both human and machine functionalities to help businesses access data in place or support its consolidation where required. It continuously identifies and integrates data from disparate applications to discover insightful, business-relevant relationships between available data points. Further, it also handles the repair of failed data integration jobs and auto-profiling of datasets.

Components of data fabric-

? Data Processing helps provide clear analytics-ready data by curating and transforming data for Business Intelligence and Artificial Intelligence.
? Data Orchestration coordinates data flow and helps the business with a comprehensive view of the data pipeline.
? Data?Ingestion works with data spread across various sources such as databases, cloud source applications, and data streams.
? Data governance centralizes the entire data governance process of the business and helps it manage metadata locally and in compliance with corporate policies.