Apache Storm Training in Dartmouth

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