Learn about key data modeling techniques that drive success in real-world Financial Services and Insurance use cases from transactions to fraud detection. 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.

In this webinar, we will examine the most important considerations for financial applications when making decisions about your data model, including fraud detection and transaction examples.

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:

An overview of MongoDB in the Financial Services and Insurance industries
The differences between data modeling in MongoDB vs. relational databases
Data modeling demo for transactions and fraud detection
How to further enhance the power of the document model with schema design patterns applied to specific use cases

You will hear from:

Michael Lynn: Principal Developer Advocate at MongoDB