By the end of this course, you'll understand how to best use MongoDB and its Aggregation Framework in your own data science workflow.
Description
MongoDB is an open-source NoSQL database management program. NoSQL is used as an alternative to traditional relational databases.
NoSQL databases are pretty helpful in working with large sets of distributed data. MongoDB is a tool that can manage document-oriented information, and store or retrieve information.
In this course, you will learn how to set up your database and start exploring different ways to search, create, and analyze your data with MongoDB.
We will cover database performance basics, and discover how to get started with creating applications and visualizing your data.
We'll start together with the ultimate basics, learning what a database is and recognizing what makes MongoDB different in the database space.
You'll build an understanding of how to use the MongoDB Aggregation Framework pipeline, document transformation and data analysis.
We will look into the internals of the Aggregation Framework alongside optimization and pipeline building practices.
Why Should You Learn MongoDB?
| Flexible Schema | Because of its adaptable schema, MongoDB can easily accommodate changing data formats. |
| Scalability | No data size or application traffic is too much for MongoDB to manage. |
| Document-Oriented | The document-based system used by MongoDB makes it easy to store and retrieve information. |
| High Performance | The inherent indexing and sharding features of MongoDB guarantee quick query times. |
| Real-Time Analytics | MongoDB allows users to view and report on data in near-real time. |
| Cloud Compatibility | Cloud-based deployments are made easier by MongoDB's seamless integration with popular cloud platforms. |
| Developer-Friendly | Since it stores data in a format similar to JSON documents and has a straightforward API, MongoDB is popular among programmers. |
| Open Source | As a free and open-source database option, MongoDB can save you a lot of money. |
| NoSQL Advantages | Modern, unstructured data needs are well-served by MongoDB's NoSQL nature. |
| Growing Demand | The increasing popularity of MongoDB makes it a useful skill to have. |
What you'll learn?
You will build charts to illustrate correlations, patterns, and outliers in your dataset.
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how to install and use MongoDB locally and in the cloud (MongoDB Atlas)
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Understand how MongoDB stores and manages data
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how to work with both the Mongo Shell and drivers (e.g. Node.js driver)
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how to increase performance by using indexes (and how to use the right indexes!)
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how to use the amazing "Aggregation Framework" that's built into MongoDB
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what replica sets and sharding are
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Master fundamental operations lie CRUD, building indexes, capped collections, etc.
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how to use MongoDB Atlas - the cloud solution offered by MongoDB
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how to use the serverless platform (Stitch) offered by MongoDB
- Create, operate and manage replica sets and sharded clusters
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Create, operate and manage replica sets and sharded clusters
Who should take this course?
- Anyone who wants to master MongoDB
- Anyone who wants to gain a deep understanding of MongoDB
- if you are primarily using SQL-based databases so far and you want to explore the most popular NoSQL alternative
- if you are a web or mobile app (or desktop app) developer who considers using MongoDB
What You Will Get?
- 400+ Lectures and 30+ Hours of on Demand HD Videos
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
- 7778+ students enrolled
- Complete Practical Training
- Download Access
- Watch Videos in Android and iOS App
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Real-time Practice
- E-books & E-degree
- International Teaching Standards
- Real-time Practice
Course Duration & Access
- Course Duration
- 350+ Lectures and 40+ Hours of on Demand HD Videos
- Full lifetime access
- Access on mobile and TV
- Certificate of Completion
- 10255+ students enrolled
- Complete Practical Training
- Download access
- Watch Videos on Android and iOS App, TV, Computer & Tablets