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2. Stream processing - Wikipedia

   en.wikipedia.org/wiki/Stream_processing

   Because changing the kernel is a rather expensive operation the stream architecture also incurs penalties for small streams, a behaviour referred to as the short stream effect. Pipelining is a very widespread and heavily used practice on stream processors, with GPUs featuring pipelines exceeding 200 stages. The cost for switching settings is ...

3. Lambda architecture - Wikipedia

   en.wikipedia.org/wiki/Lambda_architecture

   The two view outputs may be joined before presentation. The rise of lambda architecture is correlated with the growth of big data, real-time analytics, and the drive to mitigate the latencies of map-reduce. [1] Lambda architecture depends on a data model with an append-only, immutable data source that serves as a system of record.

4. Apache Storm - Wikipedia

   en.wikipedia.org/wiki/Apache_Storm

   Components: Storm has three critical components: Topology, Stream, and Spout. Topology is a network made of Stream and Spout. Stream is an unbounded pipeline of tuples and Spout is the source of the data streams which converts the data into the tuple of streams and sends to the bolts to be processed. [12]

5. Confluent launches visual streaming data pipeline designer - AOL

   www.aol.com/news/confluent-launches-visual...

   Confluent, the company that built a streaming service on top of the open source Apache Kafka project, has always been about helping companies capture streams of data. Today, at the Current ...

6. Apache Kafka - Wikipedia

   en.wikipedia.org/wiki/Apache_Kafka

   Apache Kafka is a distributed event store and stream-processing platform. It is an open-source system developed by the Apache Software Foundation written in Java and Scala.The project aims to provide a unified, high-throughput, low-latency platform for handling real-time data feeds.

7. Dataflow - Wikipedia

   en.wikipedia.org/wiki/Dataflow

   There have been multiple data-flow/stream processing languages of various forms (see Stream processing). Data-flow hardware (see Dataflow architecture) is an alternative to the classic von Neumann architecture. The most obvious example of data-flow programming is the subset known as reactive programming with spreadsheets. As a user enters new ...

8. Pipeline (computing) - Wikipedia

   en.wikipedia.org/wiki/Pipeline_(computing)

   In computing, a pipeline or data pipeline [1] is a set of data processing elements connected in series, where the output of one element is the input of the next one. The elements of a pipeline are often executed in parallel or in time-sliced fashion. Some amount of buffer storage is often inserted between elements. Computer-related pipelines ...

9. Streaming data - Wikipedia

   en.wikipedia.org/wiki/Streaming_data

   Streaming data is data that is continuously generated by different sources. Such data should be processed incrementally using stream processing techniques without having access to all of the data. In addition, it should be considered that concept drift may happen in the data which means that the properties of the stream may change over time.