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 training can be carried out locally on customer premises in Linz or in NobleProg corporate training centers in Linz.
NobleProg -- Your Local Training Provider
NobleProg Linz
Hafenstraße 47-51, Linz, Austria, 4020
Overview
Our training facilities are located at Hafenstraße 47-51 in Linz. Our spacious ...
Overview
Our training facilities are located at Hafenstraße 47-51 in Linz. Our spacious training rooms are located in the old town, near the Danube, and offer optimal training conditions for your needs.
Directions
The NobleProg training facilities are conveniently located near the A7 motorway.
Parking spaces
There are parking spaces in the surrounding streets around our training rooms.
Local infrastructure
There are numerous restaurants in the area of the old town and hotels are also within walking distance.
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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