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 Maastricht or in NobleProg corporate training centers in Maastricht.
The meeting rooms at Stationsplein in Maastricht are located in an inspiring high building with large windows to enjoy the vi...
The meeting rooms at Stationsplein in Maastricht are located in an inspiring high building with large windows to enjoy the view over this international city. Outside spraying fountains that provide a soothing environment to work. A number of national and international service companies have established themselves in this part of the Netherlands, and in the city there are also many large companies, including specialists in logistics, IT, medical and veterinary technologies and life sciences. There are also a number of large call centers here. Many important Dutch and European government offices are located in the city.
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
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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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