[Webinar] Delivering real-time data with Forrester’s David Mooter
According to Forrester’s David Mooter, the demand for real-time data has exploded over the past year due to shifts in consumer behavior. From the need to keep retail inventory information up to date for buy online/pickup in store, to providing access to real-time patient data for telehealth appointments, traditional point-to-point integration simply can’t coordinate information fast enough to keep up with the market.
However, event-driven architecture coupled with a solid API strategy can make data available in real time. Join David Mooter and PK’s Lou Powell as they demonstrate how APIs create frictionless access to real-time data, delivering more value at the current pace of demand. You will learn:
- How event-driven architecture enables business transformation and not just technical design
- Common event-driven architecture design patterns
- API design patterns that complement event-driven architecture
- A maturity model for API and event management
About the presenters
David Mooter leads clients with a particular emphasis on business-first design principles and how application architectures such as APIs foster innovation and sustainable business flexibility. His research focuses on architectural topics such as integration, API strategy and management, event-driven architecture, and microservices.
Lou Powell brings a steadfast drive for innovation to his role as executive vice president of Solutions and Innovation at PK, a Google Apigee Partner that was awarded a 2019 Apigee Partner of the Year distinction. At PK, he works closely with businesses to create pioneering experiences and accelerate outcomes, unlocking greater value and market leadership. He worked in advertising and digital marketing before launching his own business, Vanick Digital, which he led for 19 years before acquisition by PK. Lou is a lifelong student of technology pattern adoption and the practices of tech natives, and he brings a design-thinking approach to technology in all of his work.Tags: API, Design Patterns, EDA