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 Bratislava or in NobleProg corporate training centers in Bratislava.
NobleProg -- Your Local Training Provider
Bratislava CBC
8/A, Karadzicova, Bratislava, slovakia, 821 08
NobleProg Classroom in Bratislava is located in Regus Office at City Business Center building.
CBC can be easily reached vi...
NobleProg Classroom in Bratislava is located in Regus Office at City Business Center building.
CBC can be easily reached via public transport:
- Trolleybus: 42, 60, 72
- Bus: 50, 70
heading to Autobusová stanica or:
- Trolleybus: 40
- Bus: 78
heading to Malý trh.
Google link: https://maps.app.goo.gl/Dcrw7uaxCvXYG8kQA
CBC is part of Nové Nivy - a ground breaking ecosystem born on a revitalised ‘brownfield’ site in the locality of Mlynské nivy.
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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