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Data Scientists need to manipulate with data (retrieve, aggregate, join, .... ) when they do their tasks for that it will be very useful to build a layer which prepare the data to be convenient for analysing step; with an approximation processing and some error tolerant defined by the user, that layer will handle both inserting records or collections to the database and retrieving the information from that database. In this paper we will focus on the structure and the design of this layer, and dig deeper how this layer will translate the user’s inquiring manner to a SQL statement suitable for approximation processing.

Approximation Query Layer (AQLayer): Design and Architecture