Provided by:
VLD Digital
Topic:
Big Data
Format:
PDF
Most visualizations today are produced by retrieving data from a database and using a specialized visualization tool to render it. This decoupled approach results in significant duplication of functionality, such as aggregation and filters, and misses' tremendous opportunities for cross-layer optimizations. In this paper, the authors present the case for an integrated Data Visualization Management System (DVMS) based on a declarative visualization language that fully com-piles the end-to-end visualization pipeline into a set of relational algebra queries.
