Using AI to Enhance Data Engineering and ETL – The Intelligent Data Accelerator
As data analytics becomes highly important to improve enterprise business performance, data aggregation (from across the enterprise and from outside sources) and adequate preparation of this data stand as critical phases within the analytics lifecycle. An astonishing 40-60% of the overall effort in an enterprise is dedicated to these foundational processes. It is here that …
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