SAMIZDATA: a scale independent data management system for time series

Time series data are becoming more and more pervasive in many business and human endeavors. The challenge of developing dedicated systems for managing such data lies in handling the problem of the scale: time series are inherently growing and so the algorithms to compute answers to queries soon become ineffective. In this paper we describe Samizdata, a data management system we have developed for Einaudi Institute for Economics and Finance, a research institute controlled by the Bank of Italy. We leverage a recent systematization of the concept of scale-independent query answering from the database literature to deliver a scalable management system for time series.