Online or onsite, instructor-led live MongoDB Atlas training courses demonstrate through interactive hands-on practice how to use MongoDB Atlas to run, deploy, and manage databases at scale through automation and simplified configurations.
MongoDB Atlas 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 MongoDB Atlas training can be carried out locally on customer premises in Salzburg or in NobleProg corporate training centers in Salzburg.
Our training facilities are located atAdolf-Kolping-Str. 10 in Salzburg. Our spacious ...
Overview
Our training facilities are located atAdolf-Kolping-Str. 10 in Salzburg. Our spacious training rooms are located near the Salzach river, within walking distance of the old town, and offer optimal training conditions for your needs.
Arrival
The NobleProg training facilities are conveniently located near the A1 motorway and the train station and Europark Salzburg Taxham train station are easily accessible.
Parking
Parking is available in the surrounding streets around our training rooms.
Local Services
In the area of the city centre there are numerous restaurants and also hotels are within walking distance.
MongoDB Atlas is a multi-cloud database-as-a-service (DBaaS) platform. It simplifies the setup, operation, and management of MongoDB deployments in the cloud.
This instructor-led, live training in Salzburg (online or onsite) is aimed at developers and sysadmins who wish to use MongoDB Atlas to run, deploy, and manage databases at scale through automation and simplified configurations.
By the end of this training, participants will be able to:
Set up, configure, and access the MongoDB Atlas cluster.
Understand the features, architecture, and advantages of MongoDB Atlas.
Learn how to import/export, query, and manipulate data in MongoDB Atlas.
Use Atlas APIs to automate database operations and administration.
Apply the best practices in managing and scaling MongoDB deployments.
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