MongoDB is one of the greatest news for Big Data. This is a document-oriented NoSQL database that is professionally used for high volume data storage. This database started influencing businesses in the mid-2000s and became the leading NoSQL database since then. Most industries have problems with their big data. With MongoDB, they can do so much with it since this is specifically designed for huge, unstructured data storage.
MongoDB – The Right Application For You
MongoDB can help you face specific jobs that your current database won’t be able to handle. The MongoDB certification questions and answers are available here. And here’s why you have to consider MongoDB.
- The Existing Skill Sets And Tools Of Your Team. For a smaller company that has a bigger budget limit, remember that MongoDB is one of the most convenient NoSQL databases that you can set up and manage.
- Current Architecture And Network Infrastructure. With MongoDB, there should be no drastic changes when it comes to your current data environment. In fact, you can layer the MongoDB into your existing data environment and make a hybrid approach.
- Security Requirements. Security guidelines are very important. With MongoDB, you would be able to set this up using your own set of security requirements. Taking extra security measures is needed especially if you have a sensitive customer data.
- The Data Growth. This is one of the most important reasons why give MongoDB a chance. This will let you scale horizontally, and the perfect choice if you are looking to store a massive amount of data and would need compression tools.
TWO Best Practices To Follow Using MongoDB In The Production Environment
When using MongoDB especially is the production environment, you should know the best practices to follow in order to get the most out of this database. So what are these? Let’s go ahead and find out two of the best practices.
- Using db.runCommand(). By far, this is the most recommended way when you want to query the database. This can provide you with the best abstraction with the mongo shells and the drivers.
- How To Count Query Results. You can use the following if you want to count the number of results:
count() – this counts the number of the results that your find() returns
itcount() – this counts the number of results from the cursor
$group – this will work directly on the server instead of sending the results to the client
In this digital world, every data environment is unique. Each of these is built to meet every business challenges. While it depends on your needs, the MongoDB is the best solution compared to the other options available.
