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Docker has revolutionized how Node.js developers create and deploy applications. But developing a Node.js Docker application can be slow and clunky. The main culprit: the process for testing your code in development.
In this article, we’ll show a tutorial and example on how you can use Docker’s host volumes and nodemon to code faster and radically reduce the time you spend testing.
For a pretty decent amount of time, doing analytics with MongoDB required additional overhead compared to modern SQL RDBMS and Data Warehouses associated with aggregation pipeline and MapReduce practices. While this approach allowed you to craft advanced custom tailored aggregation algorithms, it required additional knowledge of how to build and maintain it.
To fill this gap, MongoDB released the MongoDB connector for BI, which acts as a MySQL server on top of your MongoDB data. Under the hood, it bridges existing aggregation mechanisms to the MySQL protocol, allowing standard MySQL clients to connect and issue SQL queries.