Online or onsite, instructor-led live Apache NiFi training courses demonstrate through interactive hands-on practice the fundamentals of flow-based programming and how to develop extensions, components and processors using Apache NiFi.
Apache NiFi 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 NiFi training can be carried out locally on customer premises in Quito or in NobleProg corporate training centers in Quito.
NobleProg -- Your Local Training Provider
Quito - Av Eloy Alfaro
5915 Ave, Av Eloy Alfaro E6-24 y, Quito, ecuador, 170102
Give your latest ideas a boost in Batán Alto with the flexible workspaces at 5915 Av Eloy Alfaro. Enjoy inspiring views over an eclectic cityscape, set against the spectacular backdrop of Quito's Andean foothills.
In this instructor-led, live training in Quito (onsite or remote), participants will learn how to deploy and manage Apache NiFi in a live lab environment.
By the end of this training, participants will be able to:
Install and configure Apachi NiFi.
Source, transform and manage data from disparate, distributed data sources, including databases and big data lakes.
In this instructor-led, live training in Quito, participants will learn the fundamentals of flow-based programming as they develop a number of demo extensions, components and processors using Apache NiFi.
By the end of this training, participants will be able to:
Understand NiFi's architecture and dataflow concepts.
Develop extensions using NiFi and third-party APIs.
Custom develop their own Apache Nifi processor.
Ingest and process real-time data from disparate and uncommon file formats and data sources.
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Testimonials (2)
During the exercises, James explained me every step whereever I was getting stuck in more detail. I was completely new to NIFI. He explained the actual purpose of NIFI, even the basics such as open source. He covered every concept of Nifi starting from Beginner Level to Developer Level.
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