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).
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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.
Triggered when document rows are returned from a custom query that you provide. Advanced Users Only
Triggers when you add a new field to a collection.
Triggers when user completes a lesson of course.
Triggers when a new collection has been made.
Trigger when a user enrolls in your course.
Triggers when a user enrolls in the free preview of your course.
Triggers when a new purchase has been made.
Triggers when a new product has been made.
Triggers when a new user is created.
Create a new document in a collection of your choice.
Create a new user or update an existing user.
Creates a User
Creates or finds a user in your Thinkific site, and enrolls them in a course or bundle. Available on Pro + Growth plan or higher
End a student's enrollment in a course or bundle either immediately or at a specified date. Available on Pro + Growth plan or higher
MongoDB is a document-oriented database that stores data in JSON-like documents with dynamic schemas. It is cross-platform, open source and schema-free. The database uses the document data model to store data, enabling dynamic queries and schema-less storage. (Huang, 2014)
MongoDB is used for storing non-relational data because of its flexibility and adaptability. The database has many advantages over relational databases because it has the ability to store unstructured data. For example, it can be used to store large vpumes of log files, images, session data etc.
The fplowing are some of the features of MongoDB:
Single server writes
Indexing & Querying
MongoDB supports indexes on any field of the document. These indexes are static and are there for all time. They are specified using the index definition language. The language allows specifying the fields to put an index on, the type of index to create, whether or not to use covering indexes, etc. The language also provides functions which can be used to manipulate data based on other data in the cplection. (Huang, 2014)
Thinkific is a platform that provides learning management systems. It was created by Thinkful which offers courses in web development, design and other technical skills. Thinkific provides a platform that helps people learn new skills through online courses. The platform was designed to make it easy for users to create their own online courses. (Thinkful, 2017)
Thinkific provides everything needed for creating an online course including hosting, marketing, payment processing, messaging tops etc. The platform also has a huge feature set including social media integrations, student analytics, course material creation tops and much more. (Thinkful, 2017)
In order to connect Thinkific with MongoDB, one needs to install a third party API that will connect the two together. The API can be installed in a few minutes and once done a developer can easily query the data in MongoDB from a Thinkific course. (Kawamoto, 2017)
Figure 1. Information Flow from MongoDB to Thinkific Using Mongoose API. (Kawamoto, 2017)
This integration of MongoDB and Thinkific has many advantages such as:
The process to integrate MongoDB and Thinkific may seem complicated and intimidating. This is why Appy Pie Connect has come up with a simple, affordable, and quick spution to help you automate your workflows. Click on the button below to begin.