Description: Apache Storm is an open-source distributed real-time computation system. It provides a scalable and fault-tolerant platform for processing large streams of data in real-time, enabling organizations to analyze and react to data as it arrives. Storm allows users to define complex data processing workflows, known as topologies, which can handle high volumes of data with low latency. Additional information: Apache Storm is designed to process data in a distributed and fault-tolerant manner, making it highly reliable for mission-critical applications. It uses a master-worker architecture where a cluster of machines collaboratively processes the data streams. Storm provides guaranteed message processing, fault recovery, and scalability, making it suitable for applications requiring real-time analytics, continuous computation, and stream processing. It integrates with various data sources and sinks, allowing seamless integration with existing data infrastructure. Storm's flexibility and extensibility make it a popular choice for building real-time data processing systems. Example: One example of Apache Storm's application is in the financial industry, where it can be used for real-time fraud detection. By processing incoming transaction data in real-time, Storm can identify suspicious patterns or anomalies and trigger immediate actions to prevent fraudulent activities. Another example is in social media analytics, where Storm can process streams of social media data to perform sentiment analysis, trending topic detection, and real-time recommendation systems. Publisher: Apache Software Foundation Source: https://storm.apache.org/ LOST view: TVA-Data Management Enablers [Motivation] Identifier: http://data.europa.eu/dr8/egovera/ApacheStormApplicationService EIRA traceability: eira:DigitalSolutionApplicationService EIRA concept: eira:SolutionBuildingBlock Last modification: 2023-07-20 dct:identifier: http://data.europa.eu/dr8/egovera/ApacheStormApplicationService dct:title: Apache Storm Application Service