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What is DaaS, data as a service? Read on this article to know more its definition, benefits as well as challenges.
In order to modernize their work structure and infrastructure, companies are taking to the cloud. One such service, DaaS, or data as a service is booming the industry certainly. If you are looking for data integration, storage, data analytics or data management, one of the most seamless solutions for you is Data as a service. Additionally, by embracing DaaS, an organization can augment the agility of data workloads, reduce time-to-insight, and increase the reliability and integrity of their data. Today in this post, we will walk you through the ins and outs of DaaS and will tell you why that should be your go-to.
Data as a service is a data management strategy that hinges on the cloud to process data storage, integration, and analytics services via a network connection. In a way, it is similar to SaaS, and helps to deliver applications to the users over a network. It is more like a newer concept that is now beginning to see widespread application and adoption. Now that we have brushed upon the definition of data as a service, let us run over some of its best benefits.
Data as a service is tending to become a thing of the future. Most of the companies are already leveraging DaaS to enhance and simplify the process. This might include obtaining insights from the given set of data, to achieve better data integration and ensure privacy and governance at all times. In turn, those companies are in a position to maintain an edge over competitors and streamline their internal operations through more effective data governance and improved data integrity.
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Published October 13, 2021, Updated June 07, 2023
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