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 Mexico City or in NobleProg corporate training centers in Mexico City.
NobleProg -- Your Local Training Provider
Mexico City - Colonia Del Valle
Av. Insurgentes Sur N° 800 , Mexico City, mexico, 3100
The Colonia Del Valle (HQ) Center is on the eighth floor of an attractive, 20-story steel-gray building on the Avenida de los...
The Colonia Del Valle (HQ) Center is on the eighth floor of an attractive, 20-story steel-gray building on the Avenida de los Insurgentes. The landmark Mexicana de Aviatión Tower is nearby, and the World Trade Center (WTC) is only two blocks away.
Mexico City - Torre Angel
Paseo de la Reforma 350, Mexico City, mexico, 6600
The Mexico City Torre Angel Center is on the 10th and 11th floors of a prestigious curved, reflective high-rise building with...
The Mexico City Torre Angel Center is on the 10th and 11th floors of a prestigious curved, reflective high-rise building with magnificent views to The Angel, the iconic monument to independence on the Paseo de la Reforma.
This instructor-led, live training in Mexico City (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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