A key feature of all distributed storage systems is their ability to replicate data not just across machines within a data center but also across geographically distributed data centers. Replication, while it aids ensuring higher availability of the data segments also necessitates keeping multiple replicas somehow in sync to ensure …
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Abstract This paper presents Polybase, a feature of SQL Server PDW V2 that allows users to manage and query data stored in …
With both the F1 and Spanner papers out its now possible to understand their interplay a bit holistically. So lets start by …
MillWheel is a framework for building low-latency data-processing applications that is widely used at Google. Users specify a directed computation graph and …
Abstract Diverse applications including cyber security, social networks, protein networks, recommendation systems or citation networks work with inherently graph-structured data. The graphs …
Abstract A geographically distributed system for joining multiple continuously flowing streams of data in real-time with high scalability and low latency, where …
Abstract : Phoenix, an implementation of MapReduce for shared-memory systems that includes a programming API and an efficient runtime system. The Phoenix …
The highlight of this system is a clear separation of the cube computation engine and the query serving engine of this OLAP …
Abstract : We have developed Ceph, a distributed file system that provides excellent performance, reliability, and scalability. Ceph maximizes the separation between …