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This facilitates improved collaboration across departments via data virtualization, which allows users to view and analyze data without needing to move or replicate it.
Despite its many uses, quantitative data presents two main challenges for a data-driven organization. First, data isn’t created in a uniform, consistent format. It’s generated by a host of sources in different ways. You have to be able to work with both kinds of data in order to unlock the most comprehensive insights.
This configuration allows you to augment your sensitive on-premises data with cloud data while making sure all data processing and compute runs on-premises in AWS Outposts Racks. Additionally, Oktank must comply with data residency requirements, making sure that confidential data is stored and processed strictly on premises.
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