In this paper, we present BlinkDB, a massively parallel, approximate query engine for
running interactive SQL queries on large volumes of data. BlinkDB allows users to trade-off …

Cloud storage solutions promise high scalability and low cost. Existing solutions, however,
differ in the degree of consistency they provide. Our experience using such systems …

Inspired by Google's BigTable, a variety of scalable, semi-structured, weak-semantic table
stores have been developed and optimized for different priorities such as query speed …

Currently, users of geo-distributed storage systems face a hard choice between having
serializable transactions with high latency, or limited or no transactions with low latency. We …

Traditionally, the goal of benchmarking a software system is to evaluate its performance
under a particular workload for a fixed configuration. The most prominent examples for …

Providing timely results in the face of rapid growth in data volumes has become important for
analytical frameworks. For this reason, frameworks increasingly operate on only a subset of …

The query models of the recent generation of very large scale distributed (VLSD) shared-
nothing data storage systems, including our own PNUTS and others (eg BigTable, Dynamo …

Much data in the Web is hidden behind Web query interfaces. In most cases the only means
to" surface" the content of a Web database is by formulating complex queries on such …

Near real-time event streams are becoming a key feature of many popular web applications.
Many web sites allow users to create a personalized feed by selecting one or more event …

Many machine learning applications operate in dynamic environments that change over
time, in which models must be continually updated to capture the recent trend in data …