Why Is It Important?
You’re probably surrounded by large and complex datasets from many different and unconnected sources—CRM, finance, marketing automation, operations, IoT/product, even real-time streaming data. Plus, your organization may be spread out geographically, have complicated use cases, or complex data issues such as storing data across cloud, hybrid multicloud, on premises, and edge devices.
A data fabric architecture will help you bring together data from these different sources and repositories and transform and process it using machine learning to uncover patterns. This gives you a holistic picture of your business and lets you explore and analyze trusted, governed data. Ultimately, this helps you uncover actionable insights that improve your business.
Here are the key benefits of adopting this concept for your organization:
Break down data silos and achieve consistency across integrated environments through the use of metadata management, semantic knowledge graphs, and machine learning.
Create a holistic view of your business to give business users, analysts, and data scientists the power to find relationships across systems.
Maximize the power of hybrid cloud and reduce development and management time for integration design, deployment, and maintenance by simplifying the infrastructure configuration.
Make it easier for business users to explore and analyze data without relying on IT.
Make data management more efficient through the use of automation for mundane tasks such as aligning schema to new data sources and profiling datasets.