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 Częstochowa or in NobleProg corporate training centers in Częstochowa.
NobleProg -- Your Local Training Provider
Częstochowa
Częstochowa Industrial and Technological Park, Wały Dwernickiego 117/121, Częstochowa, Poland, 42-202
The training room, located in a convenient location near the city center, in the Tysiąclecia district. It...
The training room, located in a convenient location near the city center, in the Tysiąclecia district. Its close proximity to the PKP railway station and the PKS bus station makes it exceptionally convenient for all participants traveling by both train and bus. Additionally, the room is equipped with air conditioning, Wi-Fi internet, a projector, a built-in screen, a flipchart, and an audio mixer, providing conducive conditions for effective training delivery and participant comfort.
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 (2)
Sufficient hands on, trainer is knowledgable
Chris Tan
Course - A Practical Introduction to Stream Processing
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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