Online or onsite, instructor-led live Apache Ambari training courses demonstrate through interactive hands-on practice the management tools and practices provided by Ambari to successfully manage Hadoop clusters.
Ambari 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 Ambari training can be carried out locally on customer premises in Lublin or in NobleProg corporate training centers in Lublin.
NobleProg -- Your Local Training Provider
Lublin
Hotel Trzy Róże, Zemborzyce Dolne 96a, Lublin, Poland, 20-515
The training rooms are equipped with modern audiovisual equipment, enabling effective presentations and in...
The training rooms are equipped with modern audiovisual equipment, enabling effective presentations and interactive training sessions. Additionally, there is fast and reliable internet available, facilitating easy access to online materials and communication with the training team. The facility is located just 9 kilometers from the center of Lublin. Situated on the main S19 route towards Kraśnik, it provides convenient access from Rzeszów, Warsaw, Łódź, and Białystok. Thanks to this central location, participants can quickly and comfortably reach the training venue, further easing event organization and ensuring participant comfort.
Apache Ambari is an open-source management platform for provisioning, managing, monitoring and securing Apache Hadoop clusters.
In this instructor-led live training participants will learn the management tools and practices provided by Ambari to successfully manage Hadoop clusters.
By the end of this training, participants will be able to:
Set up a live Big Data cluster using Ambari
Apply Ambari's advanced features and functionalities to various use cases
Seamlessly add and remove nodes as needed
Improve a Hadoop cluster's performance through tuning and tweaking
Audience
DevOps
System Administrators
DBAs
Hadoop testing professionals
Format of the course
Part lecture, part discussion, exercises and heavy hands-on practice
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