Practical AI Clothing AI in a data fabric
Mar 16, 2022
Discover the challenges of managing a colossal scale of data interactions and the concept of 'data fabric' for streamlined efficiency. The hosts discuss how AI can democratize data access during crises and the critical role it plays in healthcare analytics. The importance of coherent language design and metadata for optimizing data flow is highlighted. Listeners will also learn about advanced fabrics in healthcare, enhancing operational efficiency through real-time data access, and valuable learning resources for diving deeper into these topics.
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Data Fabric Defined
- Data fabrics are large, distributed software systems designed for scalability.
- They efficiently move data from producers to consumers across diverse digital landscapes.
Key Characteristics of Data Fabrics
- Design data fabrics with scalability to handle numerous endpoints.
- Automate data movement and avoid manual connections.
Metadata's Importance
- Metadata within a data fabric provides context about the data being moved.
- This includes security status, routing, access permissions, and prioritization.
