As the data management field has diversified to consider settings in which queries are
increasingly complex, statistics are less available, or data is stored remotely, there has been …

Presto is an open source distributed query engine that supports much of the SQL analytics
workload at Facebook. Presto is designed to be adaptive, flexible, and extensible. It supports …

Dryad is a general-purpose distributed execution engine for coarse-grain data-parallel
applications. A Dryad application combines computational" vertices" with communication" …

MapReduce is a popular framework for data-intensive distributed computing of batch jobs.
To simplify fault tolerance, many implementations of MapReduce materialize the entire …

Many applications in several domains such as telecommunications, network security, large-
scale sensor networks, require online processing of continuous data flows. They produce …

TimeStream is a distributed system designed specifically for low-latency continuous
processing of big streaming data on a large cluster of commodity machines. The unique …

Many stream-processing systems enforce an order on data streams during query evaluation
to help unblock blocking operators and purge state from stateful operators. Such in-order …

The concept of state and its applications vary widely across big data processing systems.
This is evident in both the research literature and existing systems, such as Apache Flink …

STREAMSCOPE (or STREAMS) is a reliable distributed stream computation engine that has
been deployed in shared 20,000-server production clusters at Microsoft. STREAMS provides …

Recent years have seen a dramatic increase in research and development of scientific
workflow systems. These systems promise to make scientists more productive by automating …