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Understanding the Differences Between Data Fabric and Data Virtualization
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People often confuse data fabric with data virtualization.
Data Fabric and data virtualization architectures are two different methodologies companies use to derive value from data and tend to new business needs. Both methodologies provide real-time, agile, and self-service insights across data silos.
And with the introduction of new and unique architecture frameworks and data management solutions, segmenting the similarities and differences can be overwhelming, further leading to various search strings. These include “data virtualization vs. data federation”, “data fabric vs. data mesh”, and “data virtualization vs. data fabric”.
The Need to Modernize Data Architectures in Organizations - 1:10
Data Fabric vs. Data Virtualization - 2:14
Data Virtualization Use Cases - 4:03
Data Fabric Use Cases - 5:16
A data fabric architecture complemented by data virtualization can help companies and businesses deliver actionable insights quickly and rapidly. In addition, the centralized platform built upon the data fabric architecture makes data discovery and interpretation a breeze for both business and technical users.
Rather than choosing between data fabric and data virtualization architectures, companies should develop a model that best uses both concepts.
__________________________________________________________________________________________
Fintelics is an AWS Advanced Tier Consulting Partner that specializes in developing custom software and apps utilizing emerging technologies including (AI, Blockchain & Cloud Computing).
You can learn more about Fintelics by:
#DataFabric #DataVirtualization #Data
Data Fabric and data virtualization architectures are two different methodologies companies use to derive value from data and tend to new business needs. Both methodologies provide real-time, agile, and self-service insights across data silos.
And with the introduction of new and unique architecture frameworks and data management solutions, segmenting the similarities and differences can be overwhelming, further leading to various search strings. These include “data virtualization vs. data federation”, “data fabric vs. data mesh”, and “data virtualization vs. data fabric”.
The Need to Modernize Data Architectures in Organizations - 1:10
Data Fabric vs. Data Virtualization - 2:14
Data Virtualization Use Cases - 4:03
Data Fabric Use Cases - 5:16
A data fabric architecture complemented by data virtualization can help companies and businesses deliver actionable insights quickly and rapidly. In addition, the centralized platform built upon the data fabric architecture makes data discovery and interpretation a breeze for both business and technical users.
Rather than choosing between data fabric and data virtualization architectures, companies should develop a model that best uses both concepts.
__________________________________________________________________________________________
Fintelics is an AWS Advanced Tier Consulting Partner that specializes in developing custom software and apps utilizing emerging technologies including (AI, Blockchain & Cloud Computing).
You can learn more about Fintelics by:
#DataFabric #DataVirtualization #Data
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