Examples of 'stream processing' in a sentence
Meaning of "stream processing"
stream processing: Refers to the real-time processing of data or information as it flows or is generated, often in a continuous stream. This phrase is commonly used in the context of technologies like data analytics, machine learning, and real-time systems
How to use "stream processing" in a sentence
Basic
Advanced
stream processing
Hardware acceleration can be applied to stream processing.
Down stream processing of biotechnologically produced propionic acid.
Router management by an event stream processing cluster manager.
Event stream processing cluster manager.
System for data stream processing.
Data stream processing architecture enabling extension of neighborhood mask.
Digital transport stream processing.
The stream processing nature of GPUs remains valid regardless of the APIs used.
Computer system to support failover in an event stream processing system.
Batch stream processing.
The harvested culture supernatant is transferred for down stream processing.
The supernatant is used for down stream processing to purify the recombinant protein.
The harvested culture supernatant was transferred for down stream processing.
These accurnulations render subsequent down stream processing of the cell suspension cumbersome.
The improved yield is also obtainable by avoiding decomposition during down stream processing.
See also
These accumulations render subsequent down stream processing of the cell suspension cumbersome.
A GPU stream processing unit is a slot for processing a single command.
Scale of cell culture systems and down stream processing systems.
With conventional down stream processing techniques selective removal of specific glycostructures is not possible.
This duality allows us to apply data streaming solutions to optimize stream processing systems.
Its mediator design and stream processing of all operations can best accommodate future extensions.
A shader cluster is organized into 5 stream processing units.
Heka is an open source stream processing software system developed by Mozilla.
Is a new-generation platform for scalable distributed batch and stream processing.
How to design algorithms for stream processing and counting of frequent elements in Big Data.
Stream processing is the core service in a real-time inventory system.
Apache Flink is an open source stream processing framework developed by the Apache Software Foundation.
Secondly, precipitated calcium salts give rise to problems in down stream processing.
Apache Storm is a distributed stream processing computation framework written predominantly in the Clojure programming language.
Twitter uses Storm-Kafka as a part of their stream processing infrastructure.
Unifying batch and stream processing with Apache Beam Interactive session.
We need now to find the right technologies, first to implement the stream processing.
A real-time stream processing makes it possible to do a quick analysis of threats.
A method of supporting failover in an event stream processing system, the method comprising,.
When unused stream processing unit slots are available, the commands are passed through as needed.
You will learn fundamental techniques, such as data mining and stream processing.
Additionally, the stream processing unit 5 separates visual data and audio data from the received data.
Powerful no-code platform to build applications for industrial automation, connectivity and event stream processing.
This concludes the description of stream processing when the display mode is 3D.
While stream processing is a branch of SIMD / MIMD processing, they must not be confused.
FIG . 2 schematically represents the sequencing of the stream processing steps using a prior art method.
Event stream processing Schuster, Werner.
Learn about Twitter Storm, its architecture, and the spectrum of batch and stream processing solutions.
Previously, batch and stream processing in the world of Apache Hadoop were separate things.
Stream Processors, Inc, a semiconductor company that has commercialized stream processing for DSP applications.
Java 8 accelerated stream processing by providing the Streams API.
One way to process the data under short delays isthrough Data Stream Processing ( DSP ) applications.
Stream processing - Small batches of data processed in real-time.
Abstract, In a Big Data context, stream processing has become a very active research domain.
Fig . 83 is a functional block diagram showing a representative structure of the stream processing unit 5.
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Where the shallow stream runs wide
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Timely processing of travel requests and arrangements
Number of objects whose processing resulted in an error
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