The Complete Mongodb Course 2023
Last updated 9/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English (US) | Size: 1.76 GB | Duration: 8h 9m
Learn about NoSQL Document Databases and master Mongo Query Language, Aggregation Pipelines and more!
What you'll learn
Have a detailed understanding of MongoDB databases and how they work
Build knowledge across the MongoDB product ecosystem
CRUD (Create, Read, Update, Delete) Operations
Query data using the Aggregation Framework
Have extensive hands-on experience with Query, Projection and Aggregation Pipeline Operators
Use Indexes to make your queries more efficient
Understand different approaches to modelling data in MongoDB (Embedding vs Referencing)
Use Drivers to connect MongoDB to applications (featuring Python)
Requirements
No prior knowledge required
MacOS or Windows
Description
MongoDB is one of the most in demand databases around despite being relatively new to the scene. In fact, MongoDB was created due to the limitations of traditional databases!Due to the changing data demands of today and the growth in "big data", traditional relational databases are finding it increasingly difficult to store this data and deliver performance.MongoDB is able to handle large volumes of data while maximising performance and adopt a flexible schema approach, giving you ultimate flexibility when modelling data.These are just a few of the reasons why MongoDB is rated as one of the top 5 most popular database systems in the world according to Statista (as of June 2021).So if you work with data in any capacity and are looking to develop your experience of MongoDB then this is the perfect course for you!The curriculum is comprehensive and is designed to take you from beginner to pro. The lectures in this course are arranged into short, bite-sized chunks.Every module of the course has been individually tailored to give the optimal learning experience and keep you engaged. Modules are packed with
Who this course is for:
This course is for anyone interested in learning about NoSQL and MongoDB Databases
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