Published: 29 April 2024
Data and analytics leaders face a growing challenge of managing the rapidly increasing volume and diversity of data generated at the edge. This research assists data and analytics leaders in planning for this shift, providing recommendations on data persistence, distributed data architectures, and governance in edge environments.
Edge-generated data is growing dramatically in terms of volume and diversity. Often it will not be possible (or desirable) to centralize this data. Organizations will thus need to support distributed data persistence models.
Digital business solutions increasingly demand faster data distribution and reduced latency, requiring a shift of data and data processing away from the cloud and away from traditional data center environments.
Data sovereignty concerns have led to increased interest in solutions that allow data to be stored in edge environments.
Most data and analytics teams have limited knowledge and skills in edge computing concepts and technologies, with resource-constrained device
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