  Various tools, softwares and systems are proposed and implemented to tackle
the challenges in big data on different emphases, e.g., data analysis, data
transaction, data query, data storage, data visualization, data privacy. In
this paper, we propose datar, a new prospective and unified framework for Big
Data Management System (BDMS) from the point of system architecture by
leveraging ideas from mainstream computer structure. We introduce five key
components of datar by reviewing the cur- rent status of BDMS. Datar features
with configuration chain of pluggable engines, automatic dataflow on job
pipelines, intelligent self-driving system management and interactive user
interfaces. Moreover, we present biggy as an implementation of datar with
manipulation details demonstrated by four running examples. Evaluations on
efficiency and scalability are carried out to show the performance. Our work
argues that the envisioned datar is a feasible solution to the unified
framework of BDMS, which can manage big data pluggablly, automatically and
intelligently with specific functionalities, where specific functionalities
refer to input, storage, computation, control and output of big data.
