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Data as a Service (Daas): Definition, Benefits, Challenges & its Future

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  As more and more companies turn to the cloud to improve their infrastructure and workloads, data as a service, or DaaS, is becoming a more popular solution for   data integration , management, storage, and analytics. By including DaaS, companies can improve the agility of data workloads, decrease time-to-insight, and increase the reliability and integrity of their data. Table of Content: What is Data as a Service (Daas)? and Example of Daas. Benefits of Data as a Service (Daas). Challenges of Data as a Service (Daas). Future of Data as a Service (Daas). What is Data as a Service (DaaS)? Data as a service (DaaS)  is a data management strategy that utilizes the cloud to deliver data storage, integration, processing, and/or analytics services via a network connection. DaaS is similar to software as a service, or SaaS, a cloud computing strategy that includes delivering applications to end-users over the network, rather than having them run applications locally on their devices. Just as