In this article, we survey recent research on column-oriented database systems, or column-
stores, where each attribute of a table is stored in a separate file or region on storage. Such …

In many important applications—such as search engines and relational database systems—
data are stored in the form of arrays of integers. Encoding and, most importantly, decoding of …

There has been a significant amount of excitement and recent work on column-oriented
database systems (" column-stores"). These database systems have been shown to perform …

MapReduce has been widely used for large-scale data analysis in the Cloud. The system is
well recognized for its elastic scalability and fine-grained fault tolerance although its …

MapReduce-based data warehouse systems are playing important roles of supporting big
data analytics to understand quickly the dynamics of user behavior trends and their needs in …

Column-oriented database systems (column-stores) have attracted a lot of attention in the
past few years. Column-stores, in a nutshell, store each database table column separately …

We present a novel design and implementation of relational join algorithms for new-
generation graphics processing units (GPUs). The most recent GPU features include support …

Abstract Database Management Systems (DBMSs) are a ubiquitous and critical component
of modern computing, and the result of decades of research and development in both …

The availability of huge system memory, even on standard servers, generated a lot of
interest in main memory database engines. In data warehouse systems, highly compressed …

Rising energy costs in large data centers are driving an agenda for energy-efficient
computing. In this paper, we focus on the role of database software in affecting, and …