Getting Started with MongoDB Atlas on Google Cloud
Getting Started with MongoDB Atlas on Google Cloud
These skills were generated by AI. Do you agree this course teaches these skills?
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.
课程信息
目标
- 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.
支持的语言
English
学完本课程后,我可以做些什么?
学完本课程后,您可以探索学习路线 中的其他内容或浏览学习目录
我能获得什么徽章?
学完一门课程后,您将获得结业徽章。徽章可在个人资料中供查看,还可在社交网络上分享。
有兴趣通过我们的点播课程合作伙伴之一来学习本课程吗
在 Coursera 和 Pluralsight 上探索 Google Cloud 内容
更喜欢跟随讲师学习?