The idea of integrating data gathered from multiple sources is hardly new, but interest in digital transformation and AI is pushing enterprises to tackle it again. Credit: irina d’elena / Shutterstock Data hyperaggregation collects, integrates, and processes large volumes of data from multiple sources. This method can pull data from cloud platforms and on-premises systems to create a unified and comprehensive data set. The goal is to enhance data visibility, thus improving decision-making, analytics, and operational efficiency. As organizations push the boundaries of digital transformation , understanding and leveraging data hyperaggregation could be the key to unlocking unprecedented business value. Data hyperaggregation strives to create a seamless data ecosystem that works harmoniously with the organization’s objectives. It is emerging as a pivotal trend because data plus data visibility equals better decisions, and better decisions equal business value. Who woulda thunk? Pretty much anyone working in enterprise IT. Using abstraction The backbone of effective data hyperaggregation lies in the infrastructure and technologies supporting it, better known as the middleware. Cloud platforms are tailored to manage and process immense data volumes. I’ve spoken about this in my rants about cloud complexity and cloud complexity management . Abstraction is one of the […]
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