Data Mesh Part 2: Deep-dive into Microservices Patterns with Replication and Stream Analytics

Deep-dive into Microservices Patterns with Replication and Stream Analytics
Target Audience: Microservices and Data Architects

This is an informational presentation about microservices event patterns, GoldenGate event replication, and event stream processing with Oracle Stream Analytics. This session will discuss some of the challenges of working with data in a microservices architecture (MA), and how the emerging concept of a “Data Mesh” can go hand-in-hand to improve microservices-based data management patterns. You may have already heard about common microservices patterns like CQRS, Saga, Event Sourcing and Transaction Outbox; we’ll share how GoldenGate can simplify these patterns while also bringing stronger data consistency to your microservice integrations. We will also discuss how complex event processing (CEP) and stream processing can be used with event-driven MA for operational and analytical use cases.

Business pressures for modernization and digital transformation drive demand for rapid, flexible DevOps, which microservices address, but also for data-driven Analytics, Machine Learning and Data Lakes which is where data management tech really shines. Join us for this presentation where we take a deep look at the intersection of microservice design patterns and modern data integration tech.

Get the PDF: https://www.slideshare.net/jtpollock/microservices-patterns-with-goldengate

Видео Data Mesh Part 2: Deep-dive into Microservices Patterns with Replication and Stream Analytics канала oraclegoldengate