Getting Started with MongoDB Atlas on Google Cloud
Getting Started with MongoDB Atlas on Google Cloud
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MongoDB Atlas provided customers a fully managed, database-as-a-service on Google’s data cloud that is unmatched in speed, scale, and security—all with AI built in.
Modern database systems, including MongoDB, have been a big step forward—giving businesses a more flexible, scalable, and developer-friendly alternative to legacy relational databases. But there is an even bigger payoff with a solution such as MongoDB Atlas a fully managed, database-as-a-service (DBaaS) offering. It is an approach that gives businesses all of the advantages of a modern, scalable, highly available database, while freeing IT to focus on high-value activities.
Course Info
Objectives
- Explore Mongodb Atlas on Google Cloud.
- Leverage MongoDB Atlas App Services products, such as Triggers and Functions, to call Cloud Natural Language Processing and carry out sentiment analysis on the comments.
- Configure MongoDB Atlas and load the sample database and movies collection on MongoDB Atlas using dataflow pipeline.
- Get some practical experience with Kubernetes by learning how to set up a MongoDB database with a StatefulSet.
- Construct a pipeline that seamlessly transports real-time data generated by edge devices or sensors to MongoDB using MongoDB Atlas Data API.
Available languages
English
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