Mongo Database Development

Mongo has provided a new way of modeling data and new ways of storing and recalling data that have revolutionized data processing by adding logical structure and speed to data transactions. Think of a mongo database as collections of documents with each document containing datapoints or subdocuments with datapoints. Much like a well-organized term paper written in APA or MLA format, mongo documents center around a single object that has defining characteristics, datapoints and sometimes even collections sub-documents that pertain to that object. Mongo databases can take on complex and simple data structures. While document structure is encouraged to describe objects, it is also easy to form traditional relational data abstractions across multiple collections of documents. The magic involved with mongo lies in ultrafast data queries which are called aggregation pipelines and Binary JavaScript Object Notation (BSON) which converts data to literal ones and zeros allowing unique strings of ones and zeros to be instantly searched over enormous data sets.

Mongo is an adequate, fast data system that can speed up data processing