Event processing (EP) is a data processing technology that conducts online processing of
event information. In this survey, we summarize the latest cutting-edge work done on EP …

Apache Flink 1 is an open-source system for processing streaming and batch data. Flink is
built on the philosophy that many classes of data processing applications, including real …

Organizations deploy a hierarchy of clusters-cameras, private clusters, public clouds-for
analyzing live video feeds from their cameras. Video analytics queries have many …

Video cameras are pervasively deployed for security and smart city scenarios, with millions
of them in large cities worldwide. Achieving the potential of these cameras requires …

Unbounded, unordered, global-scale datasets are increasingly common in day-to-day
business (eg Web logs, mobile usage statistics, and sensor networks). At the same time …

Growing main memory capacity has fueled the development of in-memory big data
management and processing. By eliminating disk I/O bottleneck, it is now possible to support …

With the ubiquity of real-time data, organizations need streaming systems that are scalable,
easy to use, and easy to integrate into business applications. Structured Streaming is a new …

Serving ML prediction pipelines spanning multiple models and hardware accelerators is a
key challenge in production machine learning. Optimally configuring these pipelines to meet …

In this paper, we reflect on the state of the art of Approximate Query Processing. Although
much technical progress has been made in this area of research, we are yet to see its impact …

An increasingly important system requirement for distributed stream processing applications
is to provide strong correctness guarantees under unexpected failures and out-of-order data …