Data Fabric: What Is It? What Can It Do for You?

As data environments continue to grow more diverse, distributed, and complex, the need for agile data management has increased proportionally. To maximize the value of their data, organizations need to make it available to users where and when it’s needed—fast, easy access is the mandate. This requires rethinking traditional data management practices.

In response, data fabric has emerged as a new design concept aimed at solving the persistent challenges of integrating, governing, and sharing data across the enterprise. Through a unified architecture and combination of data services and technologies, organizations can create an integrated layer of connected data to facilitate self-service data consumption.

The benefits of this scenario are easy to understand, but getting there is a different story. There is no out-of-the-box or one-size-fits-all solution, and it’s not a one-and-done project either. At a recent Database Trends and Applications (DBTA) webinar, Tom Hoblitzell, VP of Data Management, Datavail, participated in a roundtable discussion on how to implement, manage, and succeed with data fabric.

Watch the on-demand video to learn about:

• Data Warehouse vs. Data Lake vs. Data Fabric
• What is a Data Fabric?
• Benefits of Using a Data Fabric
• Best Practices for Managing Data Fabrics
• Key Architectural Components of a Data Fabric
• Key Elements of a Data Fabric Architecture
• Use Cases of Data Fabrics

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