With its document-oriented data model, real-time analytics capabilities, and seamless integration with other cutting-edge technologies, MongoDB has become the go-to choice for forward-thinking financial and insurance institutions.
Since the relational schema and MongoDB schema are different, a question that keeps getting asked is: “I’m designing an application to do X, how do I model the data?” How you model your data early on affects the speed of development throughout your application lifecycle and can have ramifications on performance far down the line.
In this webinar, we will examine the most important considerations for financial applications when making decisions about the data model that best fits your application. This session is designed to introduce developers, technologists, and technical decision-makers to the NoSQL mindset for financial organizations and to break down NoSQL data modeling for real-world workloads.
We'll cover:
- The differences between data modeling in MongoDB vs. relational databases
- How to further enhance the power of the document model with schema design patterns applied to financial use cases