Systems | Development | Analytics | API | Testing

Defining Asynchronous Microservice APIs for Fraud Detection | Designing Event-Driven Microservices

In this video, Wade explores the process of decomposing a monolith into a series of microservices. You'll see how Tributary bank extracts a variety of API methods from an existing monolith. Tributary Bank wants to decompose its monolith into a series of microservices. They are going to start with their Fraud Detection service. However, before they can start, they first have to untangle the existing code. They will need to define a clean API that will allow them to move the functionality to an asynchronous, event-driven microservice.

Optimize Mobile App Testing for Speed, Scale, and Coverage

Hosted By: Maxwell Newsom, Solution Engineer, Sauce Labs Ashwini Sathe, Senior Group Product Marketing Manager, Sauce Labs Background: As the mobile industry experiences explosive growth, delivering quality mobile apps at speed and maintaining a seamless customer experience has never been more important. In fact, after using Sauce Labs, customers improved release speeds by up to 50% and achieved a 46% uptick in weekly code deployments.

Bringing Financial Services Business Use Cases to Life: Leveraging Data Analytics, ML/AI, and Gen AI

The financial services industry is undergoing a significant transformation, driven by the need for data-driven insights, digital transformation, and compliance with evolving regulations. In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation.

Unify your data: AI and Analytics in an Open Lakehouse

Cloudera customers run some of the biggest data lakes on earth. These lakes power mission-critical, large-scale data analytics and AI use cases—including enterprise data warehouses. Nearly two years ago, Cloudera announced the general availability of Apache Iceberg in the Cloudera platform, which helps users avoid vendor lock-in and implement an open lakehouse. With an open data lakehouse powered by Apache Iceberg, businesses can better tap into the power of analytics and AI.