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 Valencia or in NobleProg corporate training centers in Valencia.
NobleProg -- Your Local Training Provider
Valencian Community
NobleProg Valencia, Plaza Manuel Sanchis Guarner, 10, Valencia, spain, 46004
Valencia is the third most populous city and metropolitan area in Spain, behind Madrid and Barcelona. With a population of mo...
Valencia is the third most populous city and metropolitan area in Spain, behind Madrid and Barcelona. With a population of more than 700,000.
Among its most representative monuments are the Miguelete, the Cathedral, the Towers of Serranos and Quart, the Lonja de la Seda, declared a World Heritage Site by Unesco in 1996, and the City of Arts and Sciences.
In addition to its airport the city of Valencia has lines of rail, tram, metro and buses that circulate throughout the metropolis.
The Hotel Senator Parque Central is located in the heart of Valencia, just a few minutes from the old town. Surrounded by shops, restaurants and entertainment venues, the hotel is well-connected: in front of the property you will find a bus stop that will take you to the beaches (5 km) and Xàtiva station is only a 15-minute walk away.
This instructor-led, live training in Valencia (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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