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Unstructured Data Management

Before the advent of online and mobile applications, managing data was pretty straightforward. Databases followed the relational model of organizing data into a pre-defined structure of rows and columns that were contained in tables.

But today’s data hardly resembles the data of yesterday. Data generated by modern applications are predominantly unstructured – e.g., text, video files, social media posts, emails – and doesn’t fit neatly into rows and columns.

NoSQL databases arose to address the limitations of relational databases and are particularly suited for unstructured data management. MongoDB, the leading NoSQL solution according to DB-Engine rankings, is particularly adept at storing unstructured data. MongoDB’s document data model stores all related data together within a single document, making it much more flexible than the rigid structure of the relational database model.

Unstructured data management presents both a challenge and an opportunity for today’s enterprises. Thousands of organizations from the latest startup to large Fortune 100 companies have used MongoDB to build amazing applications that leverage unstructured data.

Learn more about the success of these companies with unstructured data management and how you can benefit from their example. Download our white paper today.


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