AI
Technical implementation of data virtualization
June 1, 2021 | Written by: Hannu Löppönen
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The traditional way of implementing data virtualization is based on data federation, where the central coordinator of the network collects and partially processes the data sent by all nodes as described below. In this case, the coordinator becomes a bottleneck in the computation.
IBM’s new solution for data virtualization creates a network of data sources based on a self-organizing constellation around peer nodes. The workload is distributed to peer nodes and edge nodes, which perform most of the computation, leaving only the finishing touches to the coordinator, as shown in the figure below. It is much more efficient than federation and guarantees virtually limitless scalability.
Data and AI Sales, IBM Finland
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