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Apache Storm

28 Hours
Apache Storm is a distributed, real-time computation engine used for enabling real-time business intelligence. It does so by enabling applications to reliably process unbounded streams of data (a.k.a. stream processing). "Storm is for real-time processing what Hadoop is for batch processing!" In this instructor-led live training, participants will learn how to install and configure Apache Storm, then develop and deploy an Apache Storm application for processing big data in real-time. Some of the topics included in this training include:
  • Apache Storm in the context of Hadoop
  • Working with unbounded data
  • Continuous computation
  • Real-time analytics
  • Distributed RPC and ETL processing
Request this course now! Audience
  • Software and ETL developers
  • Mainframe professionals
  • Data scientists
  • Big data analysts
  • Hadoop professionals
Format of the course
  •     Part lecture, part discussion, exercises and heavy hands-on practice
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Testimonials(3)

Sufficient hands on, trainer is knowledgable

Chris Tan
Course - A Practical Introduction to Stream Processing

Las explicaciones eran muy buenas, si bien algunas preguntas pudieron ahorrarse si se hubieran tocado esos puntos al inicio de los temas se notó un buen dominio y experiencia en el tema.

Alan Jaime Rodríguez García - BANCO DE MEXICO
Course - Stream Processing with Kafka Streams

Recalling/reviewing keypoints of the topics discussed.

Paolo Angelo Gaton - SMS Global Technologies Inc.
Course - Building Stream Processing Applications with Kafka Streams

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