Apache Hadoop YARN: Yet Another Resource Negotiator
Detailed post to follow… Link to paper
Split Query Processing in Polybase
Abstract This paper presents Polybase, a feature of SQL Server PDW V2 that allows users to manage and query data stored in …
F1: A Distributed SQL Database That Scales
With both the F1 and Spanner papers out its now possible to understand their interplay a bit holistically. So lets start by …
MillWheel: Fault-Tolerant Stream Processing at Internet Scale
MillWheel is a framework for building low-latency data-processing applications that is widely used at Google. Users specify a directed computation graph and …
imGraph: A distributed in-memory graph database
Abstract Diverse applications including cyber security, social networks, protein networks, recommendation systems or citation networks work with inherently graph-structured data. The graphs …
Photon: Fault-tolerant and Scalable Joining of Continuous Data Streams
Abstract A geographically distributed system for joining multiple continuously flowing streams of data in real-time with high scalability and low latency, where …
Phoenix, an implementation of MapReduce for shared-memory systems
Abstract : Phoenix, an implementation of MapReduce for shared-memory systems that includes a programming API and an efficient runtime system. The Phoenix …
Avatara: OLAP for Web-scale Analytics Products
The highlight of this system is a clear separation of the cube computation engine and the query serving engine of this OLAP …
Ceph: A Scalable, High-Performance Distributed File System
Abstract : We have developed Ceph, a distributed file system that provides excellent performance, reliability, and scalability. Ceph maximizes the separation between …
SCOPE: Easy and Efficient Parallel Processing of Massive Data Sets
Companies providing cloud-scale services have an increasing need to store and analyze massive data sets such as search logs and click streams. …