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 training can be carried out locally on customer premises in Ostrowiec Świętokrzyski or in NobleProg corporate training centers in Ostrowiec Świętokrzyski.
NobleProg -- Your Local Training Provider
Ostrowiec Świętokrzyski
Centrum Biurowo – Konferencyjne, Sandomierska 26A, Ostrowiec Świętokrzyski, Poland, 27-400
The training rooms are spacious, well-lit, and excellently equipped, providing comfortable conditions for ...
The training rooms are spacious, well-lit, and excellently equipped, providing comfortable conditions for participants. Additionally, the building features a ramp and an elevator, facilitating access for individuals with limited mobility and easing the transportation of training equipment. The facility is located just 3.5 kilometers from the city center, allowing for quick and easy access to other urban attractions. Moreover, it is only 600 meters away from the nearest bus stop, making it convenient for participants using public transportation.
This instructor-led, live training in Ostrowiec Świętokrzyski (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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