Apache Storm Background Jobs

#What is Apache Storm?

Apache Storm is a distributed real-time computation system that allows users to process large volumes of data in real-time. Storm provides a fault-tolerant and scalable platform for processing data streams, using a topology of spouts and bolts to define data sources, processing logic, and sinks. Storm can be deployed on a variety of platforms, such as Hadoop YARN, Mesos, or Kubernetes.

#Apache Storm Key Features

Most recognizable Apache Storm features include:

• Distributed and fault-tolerant real-time computation
• Scalable processing of data streams
• Topology-based programming model with spouts and bolts
• Multiple messaging guarantees, such as at-least-once and exactly-once
• Extensible architecture for custom spouts and bolts
• Integration with various data sources and sinks

#Apache Storm Use-Cases

Some of the Apache Storm use-cases are:

• Real-time stream processing and analysis
• IoT (Internet of Things) data processing
• Fraud detection and anomaly detection
• Social media monitoring and sentiment analysis
• Clickstream analysis and web analytics
• Financial trading and risk management

#Apache Storm Summary

Apache Storm is a distributed real-time computation system for processing large volumes of data streams in a fault-tolerant and scalable way. Its key features include a topology-based programming model, multiple messaging guarantees, extensible architecture, and integration with various data sources and sinks. Storm is used for various purposes, such as real-time stream processing, IoT data processing, and fraud detection.