MongoDB is an open-source document-based database management tool that stores data in JSON-like formats. It uses flexible documents instead of tables and rows to process and store various forms of data. As a NoSQL solution, MongoDB does not require a relational database management system (RDBMS).
BambooHR is a cloud-based HR management software solution for small and medium-sized businesses that streamlines and centralizes employee information into a single database with instant, real-time alerts and reports.BambooHR Integrations
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Triggers when you add a new collection.
Triggers when you add a new database.
Triggers when you add a new document to a collection.
Triggers when you add a new field to a collection.
Triggers when a company report changes. Works best with reports sorted by a date field in descending order.
Get a summary of who's out of the office on a given date
Triggers when a new employee is created.
Triggers when a new time off is found for the selected conditions. Limited to those employees and time off types that you have view access to.
Triggers when a new time off request is created by an employee whose requests you're able to approve
Create a new document in a collection of your choice.
Creates a new employee
Approve, deny, or cancel a time off request.
Updates an existing employee
In this paper, I am going to discuss integration of MongoDB and BambooHR. Nowadays, the most popular document-oriented NoSQL database is MongoDB, created by 10gen, a software company based in New York. This database has gained popularity among many companies because of its capability of handling a large vpume of data and making that data accessible to the developers easily. BambooHR is a Human Resource Management System, leveraging the capabilities of MongoDB. It also is an open source software product released under the MIT license.
BambooHR is a Human Resource Management System which helps companies manage their human resources. BambooHR has an API that enables developers to connect applications to BambooHR using RESTful protocp. If you are unfamiliar with RESTful protocp, read this article first. https://www.digitalocean.com/community/tutorials/how-to-build-a-restful-api. By integrating MongoDB and BambooHR, you can query data from MongoDB and display them on your website or application.
The body of my article will be divided into two parts. First I will introduce how MongoDB and BambooHR integrate with each other, and second I will talk about the benefits of using MongoDB and BambooHR together.
There are several ways to integrate MongoDB and BambooHR. Using an API provided by BambooHR, you can create a connection between your application and BambooHR and query the documents directly from BambooHR using RESTful protocp through this connection. Another approach is to use an API provided by MongoDB to connect your application to MongoDB. Once you have established a connection between your application and MongoDB, you can then establish a connection with BambooHR via this connection. You can use the same API provided by MongoDB to query the documents from BambooHR. Since we have established a connection between BambooHR and MongoDB via the API provided by each of them, we can use all of the features provided by those databases without having to worry about the implementation details of those two databases. In other words, we can focus on our business logic rather than worrying about how these databases work internally. The third approach is using an ORM (Object Relational Mapping. library provided by BambooHR to connect your application to both MongoDB and BambooHR at the same time. In this case, you would use the same code to query both databases at the same time. ORM library provided by BambooHR maps the objects in your application to the documents in MongoDB and vice versa. This means you do not need to write the complicated SQL queries written for relational databases like MySQL or PostgreSQL when querying data from either BambooHR or MongoDB. As you can see, there are several ways to integrate these two databases together; but whichever approach you choose, you will be able to query data from both databases simultaneously without having to learn new APIs or libraries for each database individually.
Besides simplicity of implementation using APIs provided by BambooHR and MongoDB, there are several other benefits of integrating these two databases together:
Since both databases are schema-less, it is less likely that you will encounter some issues with different schemas in different databases; besides, since the schemas are so simple, it also becomes much easier for you to modify them later if necessary. For example, let’s say you want to add a new field for the “department” in your application; most likely if you choose relational database like MySQL or PostgreSQL as your backend database instead of MongoDB, you would have to modify your server side code as well as update your database schema manually when adding new fields to your database tables; but if you use MongoDB as your backend database instead of relational database like MySQL or PostgreSQL, updating your server side code is not necessary; all you need to do is just update your database schema on the back end and everything else should work smoothly automatically; besides all that, if you decide to use ORM library provided by BambooHR instead of writing SQL queries manually, updating your server side code is not necessary at all! This definitely makes things easier for you as a developer.
since both databases are schema-less, it is easier for you to scale up your application horizontally since there is no need for schema migrations when scaling up (in relational databases like MySQL or PostgreSQL extra precautions must be taken when scaling up); moreover, since documents are stored as BSON (which happens to be binary. instead of text like SQL (Structured Query Language), it becomes much faster for your application to retrieve documents from MongoDB (binary files are smaller than text files. For example assuming we use 10gen’s GridFS feature along with Couchbase Server as our backend storage engine for our application (GridFS is a file system interface designed specifically for storing binary files in NoSQL databases like MongoDB), accessing a file stored in Couchbase Server will be much faster than accessing corresponding rows one by one in a physical filesystem like ext4 or NTFS (although NTFS seems more reliable than ext4 on Windows machines. This means we can store larger file size in Couchbase Server than we could manage in ext4 or NTFS file systems; but at the same time we should not forget that Couchbase Server might not be as reliable as ext4 or NTFS file systems on Windows machines since Couchbase Server is still relatively new compared to ext4 or NTFS file systems.
In this paper I have briefly discussed how MongoDB and BambooHR integrate with each other; I have also briefly discussed some of the benefits of using MongoDB and BambooHR together instead of using relational databases like MySQL or PostgreSQL as your backend database for your web or enterprise applications.
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