Sentence examples for data processing streams from inspiring English sources

It builds on the methodology of having two different data processing streams on the same system: a real time computing for fast data streams and a batch computing behavior for massive workloads for delayed processing.

In this paper, we show that it is possible to further reduce the overall experiment time by incorporating an online data processing (streaming) scheme to process the data while it is transferred.

Four data-processing streams were tested.

The rationale is that such applications entail that the data from distributed sources should be aggregated and fused prior to being transferred in real-time to cloud computing infrastructures or data processing platforms for stream processing and decision-making.

Features such as high-volume stream-processing, intermediate checkpointing and load distribution make the design viable for more general streaming data processing applications.

We organize related work in three categories: "Processing streams of data" overviews the main approaches and systems to process streams of dynamic data, "Modeling stream processing" presents contributions that target the modeling of stream processing systems, and "Windowing approaches" discusses some proposals for windowing approaches that go beyond those captured by SECRET.

Table 3 shows that UDT's features for bulk data transfer and streaming data processing.

The framework is geared to streaming data processing and machine learning, which is key for activity recognition.

Finally, some models have been proposed to describe at a higher level the organization of data processing architectures that include stream processing components.

At present, all kinds of stream data processing based on instantaneous data have become critical issues of Internet, Internet of Things (ubiquitous computing), social networking and other technologies.

Since 2014, Spark was adopted by industry to replace Storm (http://hortonworks.com/hadoop/storm/) in Hadoop 2.0 for streaming data processing.