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Benefits Of Implementing A Data Fabric Network

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Benefits Of Implementing A Data Fabric Network Staff
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Since intelligent data virtualization is a segment of the overall analytics fabric, the common obstacles that impede performance and limit data access are removed. With the emergence of this new technology, there are still many questions about whether data fabric is the right option for your organization. The purpose of this article is to review the many benefits of implementing a data fabric network design into your company.

Keep reading to learn more!

Benefits Of Data Fabric

big data fabric is a centralized platform that receives data from several simultaneous sources in various formats and re-presents them as a single data set. As companies rely more on information technology and systems, data volume continues to increase exponentially and is becoming more diversified in location and format so having a data fabric is more important now than ever. Some benefits of a data fabric network include:

A Single Shared Data View

During a corporate data analysis, the time and financial costs are monumental since the data is derived from different tools, platforms, and sources. By creating a universal semantic layer and standard business logic over the data infrastructure, organizations can connect data systems into a single shared view. Users can leverage analytics tools based on their preferences without being concerned about data integrity. The basic result is corporations seeing their analytics portfolio speaking the same language and communicating so all pertinent users will gain a comprehensive view of data from within a single portal.

Improved Data Security

Whenever a team works with multiple data sets across various databases, each having its security processes and policies, the organization becomes open to risk. Data governance and security must utilize the best security practices while adding a layer of capability to confirm data security.

Data fabric mitigates this risk by checking all security requirements at each data level and then applying them to query results. This process considers user identities whenever accessing data, including through a shared pool. The result is all security policies are merged into the filter results.

Zippy Query Times

Fast-growing firms can make proactive decisions utilizing agile tools. The issue is that database queries, which feature billions of records, can take days to return results. However, since data fabric utilizes autonomous data engineering, queries are run against datasets within the fabric, which learns when larger datasets are required, so it develops efficient acceleration structures. That means irrelevant data is bypassed during the query process so data can be delivered 5x to 100x faster than through traditional methods.

Companies utilizing shared data intelligence are more likely to make faster and better data-driven decisions than their competition who users the traditional database methods. By implementing data fabric into your organization, you can overcome the challenges of enterprise security risks, lengthy query cycles, and siloed data, regardless of how the data is stored and its location. Best of all, data fabric can integrate consistent data from the analytics platform in a seamless package. These shared insights throughout all business functions will fuel brainstorming moments and collaboration to help drive the company into the future.

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