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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

How effectively and efficiently an organization can conduct data analytics is determined by its data strategy and data architecture , which allows an organization, its users and its applications to access different types of data regardless of where that data resides.

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The future of data: A 5-pillar approach to modern data management

CIO Business Intelligence

Furthermore, generally speaking, data should not be split across multiple databases on different cloud providers to achieve cloud neutrality. Not my original quote, but a cardinal sin of cloud-native data architecture is copying data from one location to another.

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What Is Embedded Analytics?

Jet Global

Advanced Analytics Provide the unique benefit of advanced (and often proprietary) statistical models in your app. Data Environment First off, the solutions you consider should be compatible with your current data architecture. Diagnostic Analytics: No longer just describing.