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 Melbourne or in NobleProg corporate training centers in Melbourne.
385 Bourke Street is located in the bustling Central Business District (CBD) and retail precinct of Melbourne's commercial hu...
385 Bourke Street is located in the bustling Central Business District (CBD) and retail precinct of Melbourne's commercial hub, making it by far the most sought after address in the City. Positioned directly opposite the Bourke street Mall, the 41 level tower houses a two level retail complex, known as the Galleria Retail Centre. Showcased underneath an impressive high glass ceiling, the retail specialty stores offer the best in giftware, fashion, food and services. The premium grade property is uniquely positioned on a 45 degree angle to the Melbourne CBD grid, providing excellent 360 degree views and has excellent access to public transport, with trams running along both Bourke and Elizabeth Streets and train and bus stations within 500 metres.
Cliftons Perth
Parmelia House, 191 St Georges Terrace, Perth, Australia, 6000
Located within the historic Bishops See precinct, it sits at the western end of Perth’s Commercial Business District
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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