Developer’s Description
Do you want to export MongoDB to Excel? Do you find it grueling to perform all the work? We’ve got you covered! This blog is aimed at educating you with in-depth knowledge about the various tools and techniques that will help you export MongoDB data to Excel & CSV formats. Follow our easy step-by-step guide to export your MongoDB documents to the data warehouse/database of your choice in CSV format and perform insightful analysis.
MongoDB is a popular high-performance NoSQL database that enables you to store your data in a non-relational format. MongoDB is known for its scalability, ease of use, reliability & no compulsion for using a fixed schema among all stored documents, giving them the ability to have varying fields (columns).
MongoDB stores its data as objects which are commonly identified as documents. These documents are stored in collections, analogous to how tables work in relational databases.
BSON (Binary JSON) can be used to communicate with the data stored in MongoDB.
Introduction To CSV Files
CSV stands for Comma Separated Values. In layman terms, it is a plain text file containing a list of values. These files are typically used as a medium of exchanging data between multiple applications. They are also known as Character Separated Values or Comma Delimited Files.
CSV files can be used with a majority of spreadsheet applications such as Google Spreadsheets or Microsoft Excel. One feature that sets the CSV files apart from normal sheets, is that it doesn’t allow saving formulas, and only one sheet is allowed per file with restrictions on saving rows, columns, etc.
Complex data is usually taken from an application, it is then converted into the CSV format and loaded onto any other application.
Automate Excel to MongoDB Data Import Tasks
FME is data conversion and integration technology that helps you easily load Excel data into your MongoDB database. Through FME Desktop’s intuitive graphical user interface, quickly create workflows that convert data from Excel spreadsheets into JSON documents for MongoDB without writing any code. FME natively supports both Excel reading and MongoDB writing, and has a library of tools for manipulating a dataset’s contents and structure to fit any data model. For instance you can break down an Excel file, extract subsets of values, edit contents and generate JSON documents that fit the schema of your MongoDB system.
By deploying FME technology via FME Server or FME Cloud, you can automate Excel to MongoDB data migration workflows by configuring them to run at specified intervals or in response to events in real-time.
Download a free 30-day trial and see how easy it is to create automated Excel to MongoDB data migration workflows with FME.
In this informative MongoDB Training Series, we discussed in detail about the Introduction to MongoDB, its common whereabouts and its history too in our previous tutorial.
In this tutorial, we will see the installation and configuration setup of MongoDB, how it does and how a beginner with no background knowledge could install it easily without getting help from anyone.
The installers for MongoDB are available in both the 32-bit and 64-bit format. The 32-bit installers are good for development and test environments. But for production environments you should use the 64-bit installers. Otherwise, you can be limited to the amount of data that can be stored within MongoDB.
It is advisable to always use the stable release for production environments.
How To Install?
Run the system and open PC properties.Get the latest Software.
Go to the activation menu too.
After that, download the code and the crack from the link below.
Enter this key to activate.