Data Integration

Modern Data Fabrics Are Crucial for Data Management

Data fabric is an increasingly popular term in the digital transformation world. Data fabric simplifies and integrates data management on a massive scale, covering both on-premises and cloud environments. You can stitch together various data tools using the data fabric solution while empowering your data modeling process. So, how does data fabric help improve your business intelligence and outcomes? In this article at, Tom Armstrong explains how modern data fabric directly responds to data integration and protection challenges.

What Is Data Fabric?

Gartner defines data fabric as a “design concept that serves as an integrated layer (fabric) of data and connecting processes.” In other words, a data fabric is an environment that unifies data from different sources, access points, and storage devices. Further, it makes the data usable, scalable and integrated by creating a unified framework that makes data seamless.

Data Fabric for Data Protection

“Modern data fabrics need to build in data-protection techniques such as snapshots, mirroring, and tiering to ensure that data used for insights is protected, available, and recoverable 24×7,” explains Armstrong. If rightly implemented, data fabric replicates snapshots and mirrors across clusters to eliminate single points of failure. Further, they provide replicas to rebuild data sets in the event of a malicious attack.

Identifying insights demand access to all your data. A modern data fabric enables data engineers and data scientists to ‘tap’ into remote data sources. In other words, developers and data scientists have real-time access to test data. Furthermore, when they detect anomalies, they can directly access information. The modern data fabric helps you achieve valuable data insights and stay a step ahead of the competition. With business intelligence, your organization can understand your customers and what they do in the real world—their interests and values. To read the original article, click on

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