Online or onsite, instructor-led live Apache Flink training courses demonstrate through interactive hands-on practice the principles and approaches behind distributed stream and batch data processing.
Apache Flink 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 Flink trainings in The Hague can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
The Hague
The Office Operators , Schenkkade 50, The Hague, Netherlands, 2595 AR
Attend training courses at a top location in the business district of The Hague with Professional and modern meeting rooms fi...
Attend training courses at a top location in the business district of The Hague with Professional and modern meeting rooms fitted to your needs, with excellent accessibility. The Haagsche Zwaan has it all.
In the center just a few minutes away from the train station Den Haag Laan van NOI and the exit 3 of highway A12 you will find De Haagse Zwaan. Train and metro (line E The Hague Central or Laan NOI) are at 8 minutes walking distance. Tram stop Beatrixkwartier for the Randstadrail line 3 and 4 is at a 3 minute walk.
This instructor-led, live training in The Hague (online or onsite) introduces the principles and approaches behind distributed stream and batch data processing, and walks participants through the creation of a real-time, data streaming application in Apache Flink.
By the end of this training, participants will be able to:
Set up an environment for developing data analysis applications.
Understand how Apache Flink's graph-processing library (Gelly) works.
Package, execute, and monitor Flink-based, fault-tolerant, data streaming applications.
Manage diverse workloads.
Perform advanced analytics.
Set up a multi-node Flink cluster.
Measure and optimize performance.
Integrate Flink with different Big Data systems.
Compare Flink capabilities with those of other big data processing frameworks.
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