Online or onsite, instructor-led live Apache Spark Streaming training courses demonstrate through interactive hands-on practice how to use Spark Streaming features in processing and analyzing real-time data.
Spark Streaming 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. Barcelona onsite live Spark Streaming trainings can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Barcelona City
NobleProg Barcelona, C/ de Mallorca, 501, Barcelona, spain, 08013
With a population of 1 604 555 inhabitants and constantly growing, Barcelona is the second most populated city of Spain after...
With a population of 1 604 555 inhabitants and constantly growing, Barcelona is the second most populated city of Spain after Madrid, and the eleventh of the European Union. It is located on the shores of the Mediterranean Sea, about 120 km south of the A mountainous chain of the Pyrenees and the border with France and is globally recognized as a global city because of its cultural, financial, commercial and tourist importance.
It has a great service of public transport called TMB formed by diverse lines of railroad, tram, metro and buses that circulate throughout the city.
Located in a magnificent location in "L'Esquerra de l'Eixample", one of the main business centers of Barcelona, with universities, metro, buses, Sants station, post office and all the services you can need a few steps away
Course - A Practical Introduction to Stream Processing
Las explicaciones eran muy buenas, si bien algunas preguntas pudieron ahorrarse si se hubieran tocado esos puntos al inicio de los temas se notó un buen dominio y experiencia en el tema.
Alan Jaime Rodríguez García - BANCO DE MEXICO
Course - Stream Processing with Kafka Streams
Recalling/reviewing keypoints of the topics discussed.
Paolo Angelo Gaton - SMS Global Technologies Inc.
Course - Building Stream Processing Applications with Kafka Streams
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