Description: Apache Kafka Streams is a client library for building real-time streaming applications and microservices. It allows developers to process and analyze data in real-time as it flows through Kafka topics, enabling the creation of scalable and fault-tolerant stream processing applications.
Additional information: Apache Kafka Streams provides a high-level API that simplifies the development of stream processing applications. It allows developers to write stream processing logic using familiar programming constructs like Java or Scala, making it easier to build and maintain real-time data processing pipelines. Kafka Streams leverages the distributed nature of Apache Kafka, providing fault-tolerance, scalability, and durability out of the box. It supports various operations such as filtering, transforming, aggregating, and joining streams of data, enabling complex data processing tasks. With Kafka Streams, developers can build applications that react to events in real-time, perform continuous computations, and generate real-time analytics.
Example: An example of using Apache Kafka Streams is in a real-time analytics application. Suppose a company wants to analyze customer behavior on their e-commerce platform. They can use Kafka Streams to process and analyze the stream of events generated by customer interactions, such as page views, clicks, and purchases. The application can perform various operations like filtering out irrelevant events, aggregating data to calculate metrics like conversion rates or average session duration, and joining streams to correlate customer behavior. The processed data can then be used to generate real-time dashboards, trigger alerts, or feed into machine learning models for personalized recommendations.
Publisher: Confluent
Source: https://www.confluent.io/what-is-apache-kafka-streams/
LOST view: TVA-Messaging Enablers [Motivation]
Identifier: http://data.europa.eu/dr8/egovera/ApacheKafkaStreamsApplicationService
EIRA traceability: eira:DigitalSolutionApplicationService
EIRA concept: eira:SolutionBuildingBlock
Last modification: 2023-07-20
dct:identifier: http://data.europa.eu/dr8/egovera/ApacheKafkaStreamsApplicationService
dct:title: Apache Kafka Streams Application Service
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eira:PURI | http://data.europa.eu/dr8/egovera/ApacheKafkaStreamsApplicationService |
eira:ABB | eira:DigitalSolutionApplicationService |
dct:modified | 2023-07-20 |
dct:identifier | http://data.europa.eu/dr8/egovera/ApacheKafkaStreamsApplicationService |
dct:title | Apache Kafka Streams Application Service |
skos:example | An example of using Apache Kafka Streams is in a real-time analytics application. Suppose a company wants to analyze customer behavior on their e-commerce platform. They can use Kafka Streams to process and analyze the stream of events generated by customer interactions, such as page views, clicks, and purchases. The application can perform various operations like filtering out irrelevant events, aggregating data to calculate metrics like conversion rates or average session duration, and joining streams to correlate customer behavior. The processed data can then be used to generate real-time dashboards, trigger alerts, or feed into machine learning models for personalized recommendations. |
skos:note | Apache Kafka Streams provides a high-level API that simplifies the development of stream processing applications. It allows developers to write stream processing logic using familiar programming constructs like Java or Scala, making it easier to build and maintain real-time data processing pipelines. Kafka Streams leverages the distributed nature of Apache Kafka, providing fault-tolerance, scalability, and durability out of the box. It supports various operations such as filtering, transforming, aggregating, and joining streams of data, enabling complex data processing tasks. With Kafka Streams, developers can build applications that react to events in real-time, perform continuous computations, and generate real-time analytics. |
eira:concept | eira:SolutionBuildingBlock |
dct:description | Apache Kafka Streams is a client library for building real-time streaming applications and microservices. It allows developers to process and analyze data in real-time as it flows through Kafka topics, enabling the creation of scalable and fault-tolerant stream processing applications. |
dct:publisher | Confluent |
dct:source | https://www.confluent.io/what-is-apache-kafka-streams/ |
eira:view | TVA-Messaging Enablers [Motivation] |