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. Stockholm onsite live Apache Flink trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Stockholm, Hötorget
NobleProg classroom in Scandic Klara Hotel Stockholm, Slöjdgatan 7, Stockholm, sweden, 111 57
Near Hötorget and the nearest station is Hötorget. It is right in the heart of shopping street. With 200 meters (5 minutes ...
Near Hötorget and the nearest station is Hötorget. It is right in the heart of shopping street. With 200 meters (5 minutes walk) to the T-Centralen metro station, it is super easy to get around Stockholm, and 800 meters to the Arlanda Express makes it convenient to get to the airport. The location offers a welcoming and professional atmosphere. It is also conveniently close (15 minutes walk) to the Royal Palace for those who want to take in the major sights.
This instructor-led, live training in Stockholm (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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