MongoDB is a popular document database choice among programmers worldwide. The program can handle unstructured data with ease and brings scalability and flexibility to the querying and indexing processes. Therefore, it is the go-to option for processing big data and designing modern applications. MongoDB projects can give you a peek into all these aspects and also show you how to use this database technology.
Traditional relational databases store data in columns and rows. In contrast, the MongoDB database program is based on the NoSQL model, where the data objects are stored as separate documents within a collection. Here are the main features of the software:
- Supporting ad hoc queries: MongoDB provides ad-hoc query support by field, range, and regular expressions
- Indexing flexibility: It allows indexing of any field in a document, improving the search speed to a considerable degree
- Assisting replication: It achieves replication using replica sets that host the same datasets, which increases data availability
- Facilitating file storage: It has the capability of storing large objects or files, making it fit for enterprise document management
- Creating capped collections: Fixed-size or capped collections in MongoDB drive high performance of the read, create, and delete operations
- Retrieving data from multiple documents: MongoDB uses the JSON query format and dynamic schema for efficient performance
A project-based pedagogy offers the opportunity to experience how these features come into play in real-life applications. Moreover, you can acquire knowledge of the best practices for NoSQL development and also pick up additional systems languages.
If you are a beginner programmer, it can be tricky to find MongoDB projects that match your learning needs. So, we have listed some reference topics for you below.
Top MongoDB Project Ideas & Topics
1. Content Management System
Clubbing the content assets like text and HTML into a single database helps provide a better user experience. MongoDB has an excellent toolset not only for storing and indexing but also for controlling the structure of a content management system. You can easily design a web-based CMS by using the model proposed by “Metadata and Asset Management” in MongoDB. Additionally, you can use “Storing Comments” to model user comments on blog posts.
2. Gaming Project
Data is an essential part of making video games work. Some typical examples of gaming data include player profiles, matchmaking, telemetry, and leaderboards.
The common thread between all games is that they all have a specific goal. And you have to achieve multiple objectives or pay your way out to reach the end goal. This may involve steps like watering your plants, growing vegetables, serving food in a restaurant, and so on.
When you are selecting the appropriate database for your application, you need to consider the requirements of the modern gaming environment. Today, video games come in online and multiplayer formats and can reach a massive scale. It is also crucial that they evolve quickly to stay relevant in the fast-paced tech world. In this scenario, MongoDB can solve a lot of problems. It has the capability to add and associate new features to player profiles. It can save multi-level data and can also handle concurrency.
3. File Sharing System
You can take up a project to create a system for storing and sharing files, such as Dropbox or Google Drive. Such services are useful for saving and retrieving data without having to load large files into memory.
For this project, you can write the server on Node.js and save the files in the MongoDB program using GridFS. But before we move further, you should know some basic things about this specification.
- It can hold files exceeding the size limit of 16MB
- GridFS stores files in two collections, one for file chunks and the other for file metadata
- Upon querying GridFS for a file, the driver reassembles the chunks as required
Now, you can access information from random sections by performing a wide range of queries on these GridFS files. You can even “skip” to the middle of a video or audio file.
4. Metadata Project
Metadata provides information about other data. Some basic metadata examples include author, date created, date modified, file size, etc. Suppose you hold metadata from a set of images recorded from 100 cameras. Also, each camera gives 100,000 images in a day, and the records are kept for 30 days in each camera.
Now, consider a web application that fetches all the images clicked in a particular hour. This is how the querying will be performed:
- Selecting a camera
- Selecting a data
- Selecting an hour
- Fetching all images in that hour
By using the MongoDB database, you can simplify and speed up this entire process. The program would allow you to categorize or aggregate the data into hour-wise, day-wise, or camera-wise collections. You can also easily scale this implementation horizontally. For this reason, designing a metadata schema is one of the most-preferred MongoDB project ideas among students.
Also learn: CRUD Operations in MongoDB
5. Logging Application
Servers produce a large number of event logs containing useful information such as errors, warnings, user behavior, etc. Most servers store this data in plain-text log files in their local systems. Plain-text logs are readable and accessible, but this default method is not without its limitations. It is difficult to use, reference, and analyze large event streams without a holistic system.
MongoDB is a practical storage engine for server log data and other types of machine data. You can store, model, and process reports from raw event data with the Hierarchical Aggregation Method. As for the schema for storing data in MongoDB, the format of your event data will form a significant consideration in your project design.
6. Geospatial Data
Geospatial applications fuse maps and data to produce results via computers. From calculating the shortest distance to your destination to finding out the geographic information of customers, they rely on document databases to a great extent. You can store geospatial data in MongoDB as legacy coordinate pairs of GeoJSON objects. Because of its geo-specific capabilities in storing and indexing, MongoDB is a top choice when it comes to location-oriented services.
7. Authorization and profiling
LDAP authorization is one of the most popular MongoDB real world use cases. It is an authentication system wherein users are authorized based on their mapped roles and associated privileges. We have explained the entire mechanism in the example below:
- First, you have to feed images of the concerned persons in the application, store information in the database, and train your model
- Then, the identification process begins. The app would recognize a person’s face using the camera and display their name (in red color) if their information is stored on the server.
- After this, the information is coss-verified with the MongoDB database. The record searched in the database should match the information shown earlier. And if it does, the person’s name is displayed in green color.
Such a system can be used for authenticating people in exclusive events so that there is no need to check invitation cards. A person will be authorized to go inside if the application confirms their details.
You can extend this project to include the ‘profiling’ functionality for people who are not strongly associated with the system—for example, tracking of criminals, customer rewards, click-through-rates of promotions, etc. In the digital universe, new data and information layers are being added to user profiles every day. MongoDB is a fast program for capturing these connections and evolutions.
8. Product Catalog
MongoDB is an appropriate solution for maintaining and managing the product catalogs of any business. Generally, a product is composed of some other products, which can change with time and business circumstances. Now, if the base products go on to have more than one brand or identifier, it would be challenging to capture the modifications in other document database types. Due to its flexible schema, MongoDB is used by several e-commerce websites and product data management services. Here are some other significant features of this database software:
- Using “Inventory Management” to determine patterns and handle interactions between shopping carts and inventory
- Describing best practices and techniques with the “Category Hierarchy” report
9. Billing Solution
The traditional billing and invoicing systems are cumbersome and face the risk of information loss. And a MongoDB-based solution can help you automate and streamline the process, resulting in efficient business operations. But before you begin, there are some important things to consider.
Every order will contain line items with product data. There can be separate locations for the order’s delivery and billing. Also, orders can progress via many states. You have to keep all these things in mind while putting your document together. With MongoDB, you can handle the concurrency and perform other operations like “add one more.” Additionally, you can keep a tab on all the changes in the bill of sale as it moves through the system.
Here is a step-wise explanation for building a full-fledged billing dashboard:
- Leverage MongoDB Charts for visualizing the amount within the Atlas Organization
- Invoke the MongoDB atlas API with the Stitch tool to retrieve invoice data
- Insert this data into the MongoDB Atlas cluster to be sourced by the Charts dashboard
- Use Scheduled Stitch Triggers to ensure automatic data retrieval, and hence, keeping the dashboard updated
10. Finance and Investment Applications
The finance industry is full of examples where certain documents contain other documents, which in turn, are composed of more documents. Even investment vehicles are structured in the same manner. Whether it is a bandwidth fund or mutual fund or a fund of funds, your effort is to avoid flattening the data. And to that end, using a document database like MongoDB can prove immensely useful.
11. Fetch and Stream Pricing Data
Try your hand at an application that uses a MongoDB database to store the price updates of the world’s major stock market indices. The primary assumptions are as follows:
- The price data is generated randomly
- Some arbitrary price data populates the database initially
First and foremost, you would need a working MongoDB setup for storing and retrieving data. You can utilize the cloud service for this purpose. The next step will be to determine the format or schema in which you want to store your data. As for retrieval, MongoDB’s JSON-based querying will enable data from multiple documents.
12. Online Radio Station App
For this project, you can have a look at a widely-used online radio app —for instance, TuneIn. You can access the TuneIn app on the web or your mobile. It lets you listen to music, live news broadcasts, sports, and even podcasts. Now, using these pointers as a reference, make a list of features that you want in your online radio station app. And depending on your selection, decide which programming languages and databases you would use.
Coming to the development phase, you can build a RESTful (Representational State Transfer) API for the core features and use the MongoDB as the NoSQL document database for API development.
With the growing industry awareness about the benefits and high-end features of non-relational databases, MongoDB skills have gained a massive demand in the market. Various leading businesses have adopted this system as their backend software—for example, MetLife, eBay, Shutterfly, Aadhar, and many others. Even the top social networks hire skilled database professionals for positions like DB administrator, data architect, systems engineer, etc.
The above MongoDB projects combine the theoretical and practical knowledge to help you brush up on the syntax and techniques. So, utilize these resources and learn how to build web solutions with MongoDB!
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