This paper presents a new view of federated databases to address the growing need for
managing information that spans multiple data models. This trend is fueled by the …

This paper presents the design of a read-optimized relational DBMS that contrasts sharply
with most current systems, which are write-optimized. Among the many differences in its …

Apache Calcite is a foundational software framework that provides query processing,
optimization, and query language support to many popular open-source data processing …

We study the problem of computing conjunctive queries over large databases on parallel
architectures without shared storage. Using the structure of such a query q and the skew in …

In previous papers [SC05, SBC+ 07], some of us predicted the end of" one size fits all" as a
commercial relational DBMS paradigm. These papers presented reasons and experimental …

Big data is typically characterized with 4V's: Volume, Velocity, Variety and Veracity. When it
comes to big graphs, these challenges become even more staggering. Each and every of …

The last 25 years of commercial DBMS development can be summed up in a single phrase:"
One size fits all". This phrase refers to the fact that the traditional DBMS architecture …

Big Data is used in decision making process to gain useful insights hidden in the data for
business and engineering. At the same time it presents challenges in processing, cloud …

Online Transaction Processing (OLTP) databases include a suite of features---disk-resident
B-trees and heap files, locking-based concurrency control, support for multi-threading---that …

Modern applications often need to manage and analyze widely diverse datasets that span
multiple data models [1],[2],[3],[4],[5]. Warehousing the data through Extract-Transform-Load …