You need to edit the event object’s properties received in the transform method as a parameter to carry out the transformation. It also allows you to run transformation code for each event in the Data Pipelines you set up. Transformations: Hevo provides preload transformations through Python code.Real-Time Data Transfer: Hevo provides real-time data migration, so you can have analysis-ready data always.Completely Automated: The Hevo platform can be set up in just a few minutes and requires minimal maintenance.GET STARTED WITH HEVO FOR FREEĬheck Out Some of the Cool Features of Hevo: Its strong integration with umpteenth sources provides users with the flexibility to bring in data of different kinds, in a smooth fashion without having to code a single line. Hevo with its minimal learning curve can be set up in just a few minutes allowing the users to load data without having to compromise performance. They are similar to columns in RDBMS.Ī fully managed No-code Data Pipeline platform like Hevo helps you integrate data from 150+ data sources ( including 40+ Free Data Sources) like MongoDB to a destination of your choice in real-time in an effortless manner. Every Document contains zero or more fields. It is a readable format for expressing structured data. Document: A record is called a Document.The MongoDB server can contain multiple databases. Each database gets its own set of files on the system. Database: It is a container for Collections.We can iterate through the cursor to get results. Cursor: It is a pointer to the result.They exist within a single database and do not have a fixed structure as such. It is the equivalent of tables in any other Relational Database Management system like Oracle or MySQL. Collection: A collection is a group of documents.If you create a table without an _id field then MongoDB will automatically create one. _id: This is like documents’ primary key.Key Components of MongoDB Architecture Image Source Companies around the world have clusters with millions of Documents within the database. The data model available lets you represent hierarchical relationships that facilitate storing data like arrays and other complex structures.The Documents do not need to have a fixed schema beforehand, fields can be created instantly.The classes are more like key-value pairs instead of rows and columns. The Document structure is based on how the developers construct their classes and objects.Each Document is different from the others w.r.t content and number of fields.
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