What is Apache Storm?

Apache Storm is an open-source, distributed, real-time processing system for streaming data. It is designed to process very large volumes of data quickly and in near real-time, making it a popular choice for organizations where in real-time, that is needed to process and analyze streaming data.

A storm is used for a variety of real-time processing tasks, including ETL (extract, transform, and load), real-time analytics, and machine learning. It is highly scalable and can handle very large volumes of data, making it a popular choice for organizations that need to process and analyze streaming data at scale.

The Storm has a distributed architecture that allows it to scale horizontally across multiple servers, and it can be easily combined with other systems and tools. It also includes a wide range of features and functionality, including support for data reliability and fault tolerance.

Apache Storm is an Apache project and is a part of the Apache Hadoop ecosystem. It is widely used for real-time data processing and analysis in a variety of industries, including finance, healthcare, and e-commerce.

A distributed system for processing massive data in real time is called Apache Storm. The Storm is intended to process enormous amounts of data in a horizontally scalable and fault-tolerant manner. It is a framework for streaming data that can handle the greatest intake rates. Despite being stateless, Storm uses Apache ZooKeeper to handle the distributed environment and cluster state. It is easy to use and allows for the concurrent execution of various transformations on real-time data.

Real-time data analytics continues to be dominated by Apache Storm. Storm ensures that every message will be processed through the topology at least once and is simple to set up and run.

  1. Stream processing in real-time.
  2. Coordination using a master/slave architecture and ZooKeeper. Nimbus refers to the master node and supervisors to the slave nodes.
  3. Tens of thousands of messages per second can be accessed by a Storm streaming process on a cluster.
  4. Up until a user shutdown or an unanticipated, irrecoverable failure, the storm topology remains operational.

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