Businesses demand more intelligent products and intelligent products demand data intelligence. The typical challenges with data engineering (which obviously relate to the ‘science of data‘) include one or more of the following considerations: Data flow: considering extract-transform-load (ETL), traffic patterns, reconciliation, integration, conversion, and downstream data consumption. Data accuracy: removing data duplication and redundancy, optimizing master data […]
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