MongoDB has become a favorite among developers in no small part because of its alignment with modern software development practices. Its flexible schemas are compatible with agile software development ...

With MongoDB’s schema-less design, users will be able to bring in new multiple big data sources without needing to ‘prepare it’ in a more traditional sense.

MongoDB has also announced new products and capabilities that enable development teams to better analyze, transform and move their data in Atlas while reducing reliance on batch processes and ETL ...

Best of all, MongoDB is conducive to AI applications. It enables the discovery of unexpected relationships within the data, paving the way for auto-schema creation and pattern recognition.

Likewise, in the Atlas Data Lake, a collection’s data resides not within a MongoDB database but as a file within a cloud object store—initially Amazon’s S3 service. To create an Atlas Data Lake, we ...