MongoDB Use-cases and How the Top Companies uses.
MongoDB is one of the newest competitors in the field of Data Storage. Still, it has become very popular with its document-oriented NoSQL Features, Map Reduce calculation capability, and distributed key-value store. It has got the title of “Database Management System of the Year” by DB-Engine. It is one of the necessary languages full stack developers need to work with. The versatile knowledge make full-stack developer salary sky high in India. These days many companies are looking for certified MongoDB professionals to make use of MongoDB Database.
Practical MongoDB Use Cases
Some documents are called MongoDB Use Case documents, which will help in introducing the operations used, designs, and patterns in MongoDB application development. Data Modeling Strategies and Application Design will be highlighted in these documents.
It will also give some special attention to scaling, sharding, performance, and indexing. Three case studies will be described, which are: content management case studies, product data management case studies, and operational intelligence case studies.
Practical MongoDB Use Cases
Some documents are called MongoDB Use Case documents, which will help in introducing the operations used, designs, and patterns in MongoDB application development. Data Modeling Strategies and Application Design will be highlighted in these documents.
It will also give some special attention to scaling, sharding, performance, and indexing. Three case studies will be described, which are: content management case studies, product data management case studies, and operational intelligence case studies.
1. Content Management Systems
Fundamental of MongoDB approaches and practices are introduced in content management use cases, which would be done using familiar, simple examples and problems. The method for modeling user comments on content like media and blog spots are introduced by “Storing Comments”. A model is proposed for designing a website content management system by “Metadata and Asset Management” in MongoDB.
2. Product Data Management
For e-commerce websites and product data management and solutions, one can use MongoDB to store information because it has the flexible schema well suited for the job. One can also manage a product catalog and learn the practices and methods for modeling from the Product Catalog document.
They can also determine the pattern to handle interactions between user’s shopping carts and inventory using “Inventory Management.” MongoDB also has a report called “Category Hierarchy,” which will describe the techniques to do interaction with category hierarchies in MongoDB.
3. Operational Intelligence
MongoDB is beneficial for real-time analytics and operational intelligence use. One can learn “Storing Log Data” Document to know about the approaches and several ways to store and model machine-generated data with MongoDB. They can also determine the Hierarchical Aggregation Method to store and process hierarchical reports from raw event data according to the minute, hour, or day.
Top MongoDB Usage
Real-Time Data Integration
There is a lot of value to data if it is consolidated and aggregated into one single view, and MongoDB plays a vital role in doing that. Due to the query capabilities and flexibility of MongoDB, now it is easier to aggregate data and create those tools which will make an organization more efficient.
With the help of MongoDB, one can see aggregated data in a single view in real-time, which provides massive value to the companies. A developer can also take quick action on specific events and also monitor with the help of MongoDB 3.6.
Conclusion
The demand for NoSQL databases like MongoDB has gone up in the recent times. Here are some real-world use cases of MongoDB along with some companies that use MongoDB for their practical applications. We hope this article will help you understand MongoDB and it;s practical applications.
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Some Real-World Companies That Use MongoDB
1. eBay
eBay is a multinational company that provides a platform for the customer to customer sales. It is currently running a large number of projects in MongoDB like merchandising categorization, cloud management, metadata storage, search suggestions.
2. MetLife
3. Shutterfly
4. Aadhar
5. EA
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