Recent demands for storing and querying big data have revealed various shortcomings of
traditional relational database systems. This, in turn, has led to the emergence of a new kind …

Due to the increasing privacy concerns and data regulations, training data have been
increasingly fragmented, forming distributed databases of multiple “data silos”(eg, within …

Sprocket is a highly configurable, stage-based, scalable, serverless video processing
framework that exploits intra-video parallelism to achieve low latency. Sprocket enables …

Entity matching (EM) identifies data instances that refer to the same real-world entity, such
as (David Smith, UWMadison) and (DM Smith, UWM). This problem has been a long …

Experience from an operational Map-Reduce cluster reveals that outliers significantly
prolong job completion. e causes for outliers include run-time contention for processor …

We present an automatic skew mitigation approach for user-defined MapReduce programs
and present SkewTune, a system that implements this approach as a drop-in replacement …

MapReduce has emerged as a viable competitor to database systems in big data analytics.
MapReduce programs are being written for a wide variety of application domains including …

Enterprises today acquire vast volumes of data from different sources and leverage this
information by means of data analysis to support effective decision-making and provide new …

Joins are essential for many data analysis tasks, but are not supported directly by the
MapReduce paradigm. While there has been progress on equi-joins, implementation of join …

Spatial data is pervasive. Large amount of spatial data is produced every day from GPS-
enabled devices such as cell phones, cars, sensors, and various consumer based …