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. Coimbra onsite live Apache Storm trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Hotel Tivoli Coimbra
4, R. João Machado 4, 3000-226 Coimbra, Coimbra, Portugal
Ideally located for a city break, our 4 star hotel in Coimbra also benefits from a region rich in attractions: the historic c...
Ideally located for a city break, our 4 star hotel in Coimbra also benefits from a region rich in attractions: the historic centre, the University Library, the Santa Clara-a-Velha Monastery and the Sé. Nearby is Conímbriga, a well conserved city of the Roman age. For the more active, canoeing on the Mondego River is a must. Families can visit the Portugal dos Pequenitos to see the most emblematic cities and monuments of the country in miniature form.
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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