Data fabric focuses on automating the process
integration, transformation, preparation, curation, security, governance, and
orchestration to enable analytics and insights quickly for business success.
It minimizes complexity by automating processes, workflows, and pipelines,
generating code and streamlining data to accelerate various use cases such as
customer 360, data science, fraud detection, internet-of-things (IoT)
analytics, risk analytics, and healthcare insights.
AI/ML, Self-Service, And Graph Engine Are Key
Differentiators
Oracle, Talend, Cambridge Semantics, SAP,
Denodo, And IBM Lead The Pack in "The Forrester Wave™: Enterprise Data
Fabric, Q2 2020".
Interesting insights into the evolving enterprise data integration landscape. The growing importance of enterprise data services highlights why organizations are investing in platforms that can unify data across cloud and on-premises environments, improve governance, and support real-time analytics. As data volumes and complexity continue to increase, having a strong enterprise data strategy is becoming a key factor in driving business agility and informed decision-making.
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