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Using the Atlas Data Api with Google Apps Script

This Article teaches you how to call the Atlas Data API from a Google Sheets spreadsheet using Google Apps Script.

Designing, Developing, and Analyzing with the New MongoDB Shell

Learn about the benefits of using the new MongoDB Shell for interacting with databases, collections, and the data inside.

Create a Data Enabled API in MongoDB Realm in 10 Minutes or Less

Learn how to create a data api with MongoDB Realm in 10 minutes or less

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article

Using the Atlas Data Api with Google Apps Script

This Article teaches you how to call the Atlas Data API from a Google Sheets spreadsheet using Google Apps Script.

article

Designing, Developing, and Analyzing with the New MongoDB Shell

Learn about the benefits of using the new MongoDB Shell for interacting with databases, collections, and the data inside.

article

Building Service-Based Atlas Cluster Management

Learn how to build Service-Based Atlas Cluster Management webhooks/functionality with Atlas Admin API and MongoDB Realm.

article

Create a Data Enabled API in MongoDB Realm in 10 Minutes or Less

Learn how to create a data api with MongoDB Realm in 10 minutes or less

article

Calling the MongoDB Atlas Admin API - How to do it from Node, Python, and Ruby

How to call the MongoDB Atlas Admin API from Python, Node and Ruby - easy digesting.

article

How to Easily Pause and Resume MongoDB Atlas Clusters

Learn how to easily pause and resume MongoDB Atlas clusters.

podcast

Ep. 92 Introducing the MongoDB Atlas Data API with Sumedha Mehta

The MongoDB Data API lets you read and modify data in MongoDB Atlas over HTTP. You don't need any additional MongoDB drivers, libraries, or connection strings; just a standard HTTP client and a valid API key. The Data API's endpoints expose actions that are similar to the standard query methods available in MongoDB drivers. You can call them to create, read, update, delete, or aggregate documents in your cluster.  Sumedha Mehta is the Product Manager responsible for the Data API and she joins Michael for a brief introduction to the product, how it works as well as its benefits.  Be sure to check the links below for resources, examples and documentation to help get you started. Screencast Tutorial (Youtube):  https://youtu.be/aVRnDu_BYy8 Documentation: https://docs.atlas.mongodb.com/api/data-api/ Blog Article by John Page: https://www.mongodb.com/developer/quickstart/atlas_data_api_introduction/  

article

An Introduction to the MongoDB Atlas Data API

This article introduced the Atlas Data API and describes how to enable it and then call it from cURL and Postman.

article

MongoDB & Mongoose: Compatibility and Comparison

Learn why using an Object Data Modeling library may not be the best choice when building MongoDB apps with Node.js.

article

Build Your Own Function Retry Mechanism with Realm

This tutorial is born to show how we can create a retry mechanism for our functions. Realm Functions allow you to define and execute server-side logic for your application. You can call functions from your client applications as well as from other functions and in JSON expressions throughout Realm.

article

Realm Kotlin 0.6.0.

We just released v0.6.0 of Realm Kotlin. It contains support for Kotlin/JVM, indexed fields as well as a number of bug fixes.

podcast

Ep. 91 Loan Laux - MongoDB and E-Commerce

With Black Friday upon us, let's take this opportunity to focus on solutions in the retail and E-Commerce space. Loan Laux is a freelance developer, and the founder of out:grow, an E-Commerce Agency specializing in helping retailers grow, and migrate to more efficient technology solutions. Loan shares the story of his journey as a developer, as a founder and why MongoDB is an essential and efficient part of the modern E-Commerce technology stack.  To contact Loan, send him an email: llaux@trellis.co You will reach Loan on Twitter at https://twitter.com/loanlaux Be sure to stop by the MongoDB Booth at AWS re:Invent. 

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