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 trainings in Tianjin can be carried out locally on customer premises or in NobleProg corporate training centers.
NobleProg -- Your Local Training Provider
Tianjin Centre
8/F, No. 219 Nanjing Road, Tianjin, China, 300061
The Tianjin office space is located in the heart of Tianjin, at the junction of Nanjing Road and Guiyang Road in Heping Distr...
The Tianjin office space is located in the heart of Tianjin, at the junction of Nanjing Road and Guiyang Road in Heping District, Tianjin's most important business and retail district. Tianjin is the sixth largest city in Greater China, only 2 hours by car and 30 minutes by high-speed train from Beijing. Tianjin Binhai International Airport is the second largest airport in Northern China, ranking only after the Capital International Airport in Beijing, which has buses departing every 30 minutes to Tianjin Binhai International Airport. Tianjin Centre is comprised of two towers: the top stories of the east tower are serviced apartments, while the west tower houses 5-star Raffles Tianjin Hotel and prime office space. A luxury shopping mall links the two towers.
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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