The disclosure relates to a data analytics platform in which a linear pipeline processing framework may use an abstracted query language to define a data fusion pipeline assembly mechanism. More particularly, the linear pipeline processing framework may include various operator groups that work in conjunction to organize data entries that can have substantially disparate data types (e.g., text, binary, video, audio, etc.) into a single normalized stream such that one or more processing modules may perform type-specific data processing and feature extraction, normalize an output into a single stream, and finally render the different data types as a fused output.