What you’ll learn
- Understand the architecture and advantages of MongoDB as a NoSQL database.
- Insert, update, consult and delete documents in MongoDB using advanced scripts and queries.
- Use projections, ordering, array operators, subdocument queries and aggregations in MongoDB.
- Create indexes to improve query performance.
- Apply paging and regular expressions in MongoDB.
This course includes:
- 5 hours on-demand video
- 2 articles
- 1 downloadable resource
- Access on mobile and TV
- Full lifetime access
- Certificate of completion
Description
Learn how to manage NoSQL databases with MongoDB, one of the most popular and currently used database management systems. In this course, we will guide you through everything you need to know to start working with MongoDB effectively, from installing on different operating systems to creating complex collections and queries.
We will start with an introduction to MongoDB and the JSON and BSON documents, and then dive into the different operating systems on which MongoDB can be installed, including Linux, Windows, MacOS and Docker.
Then, we will explore the fundamental concepts of data manipulation in MongoDB, from the insertion and updating of documents to the consultation and elimination of them. You will learn how to run JavaScript scripts and use clauses like “where”, “and”, “or”, “not” and “nor” to make advanced queries.
In addition, we will delve into topics such as projections, ordering of query results, operators for arrays, queries in subdocuments, data aggregation, index creation and pagination. We will also cover advanced themes such as Expressive, Regex and making backups.
This course is ideal for developers, data engineers, analysts and anyone interested in learning how to use MongoDB to store and manipulate data efficiently and effectively. Sign up now and become a NoSQL database expert!
Who this course is for:
- This course is aimed at programming students and software developers interested in learning about MongoDB, one of the most popular and used NoSQL databases in the world.
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