Online or onsite, instructor-led live Apache Storm training courses demonstrate through interactive hands-on practice how to install and configure Apache Storm, then develop and deploy an Apache Storm application for processing big data in real-time.
Apache Storm training is available as "online live training" or "onsite live training". Online live training (aka "remote live training") is carried out by way of an interactive, remote desktop. Onsite live Apache Storm trainings in Örebro can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Örebro, City Center
NobleProg classroom in Clarion Hotel Örebro, Kungsgatan 14, Örebro, sweden, 702 11
Located in central Örebro in the midst of the shopping and business district. You can find popular tourist destinations, suc...
Located in central Örebro in the midst of the shopping and business district. You can find popular tourist destinations, such as Orebro Castle, Wadköping village and Gustavsvik water park near the hotel. Train to Örebro central station or
Örebro Södra station. Remote bus to Örebro central station. Local bus to bus stop Våghustorget. We recommend Taxi Courier or Sweden Taxi. 15-minute drive to Örebro Läns airport.
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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