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. Bielsko-Biała onsite live Apache Flink trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Bielsko-Biała
ZIAD, Armii Krajowej 220, Bielsko Biała, Poland, 43-316
NobleProg training rooms in Bielsko-Biała are located in the ZIAD building on the ground floor (Zakład I...
NobleProg training rooms in Bielsko-Biała are located in the ZIAD building on the ground floor (Zakład Informatyki, Automatyki i Doskonalenia Zawodowego (on Aleja Armii Krajowej 220 a. ZIAD buildings are located at the foot of the Szyndzielnia slope.) The building has a ramp for disabled people From the bus station, go to the Warszawska Dworzec station, north (on the same side as the bus station) Bus number 8 in the direction of Szyndzielnia goes about 22 minutes (9 stops). The target stop is the Home Army ZIAD, which I am located 400 meters from the ZIAD training room, in the same way, you can get to ZIAD from the Bielsko Biała Główna railway station.
This instructor-led, live training in Bielsko-Biała (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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