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Apache Storm for Big Data Processing

Track :

Programming

Lessons no : 9

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What will you learn in this course?
  • Develop real-time data processing pipelines using Apache Storm for scalable big data applications
  • Implement fault-tolerant streaming solutions with Apache Storm for reliable data processing
  • Optimize Apache Storm topologies for high ingestion rates and low latency in big data environments
  • Configure and deploy Apache Storm clusters to handle large-scale, distributed data processing tasks
  • Monitor and troubleshoot Apache Storm applications to ensure fault tolerance and system performance
  • Integrate Apache Storm with other big data tools like Hadoop, Kafka, and Spark for comprehensive data workflows

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Lessons | 9


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Apache Storm is a distributed real-time big data-processing system. Storm is designed to process vast amount of data in a fault-tolerant and horizontal scalable method. It is a streaming data framework that has the capability of highest ingestion rates.