talk-data.com

Our friends from Juxt are presenting the following webinar:

Title: Bitemporality and the Art of Maintaining Accurate Databases Speaker: Jeremy Taylor & James Handerson

This is an online event hosted on GoToWebinar — in order to attend it, please register via this link (and not by clicking "attend"): https://attendee.gotowebinar.com/register/2960607012900067930?source=lnd-clojurians-meetup

Recently, various industry luminaries — including Kent Beck, Martin Fowler, Ben Stopford, and Kris Jenkins — have been talking about bitemporality.

But what does bitemporality really mean for you, your team, and your business? How might it impact your work over the next 12 months?

In my upcoming webinar, I will attempt to demystify bitemporality — join me to discover the most common use cases for bitemporal modeling, and learn how it impacts application design and maintenance.

Key takeaways:

• Familiarize yourself with the SQL:2011 standard temporal features
• Understand the landscape of existing approaches and tools for implementing bitemporality to ensure successful projects
• Discover how you can visualize your own bitemporal data using an open source interactive tool
• Live Q&A with the audience

Register here: https://attendee.gotowebinar.com/register/2960607012900067930?source=lnd-clojurians-meetup

Many forces affect software today: larger datasets, geographical disparities, complex company structures, and the growing need to be fast and nimble in the face of change. Proven approaches such as service-oriented and event-driven architectures are joined by newer techniques such as microservices, reactive architectures, DevOps, and stream processing. Many of these patterns are successful by themselves, but as this practical ebook demonstrates, they provide a more holistic and compelling approach when applied together. Author Ben Stopford explains how service-based architectures and stream processing tools such as Apache Kafka can help you build business-critical systems. You’ll learn how to apply patterns including Event Sourcing and CQRS, and how to build multi-team systems with microservices and SOA using patterns such as "inside out databases" and "event streams as a source of truth." These approaches provide a unique foundation for how these large, autonomous service ecosystems can communicate and share data. Learn why streaming beats request-response based architectures in complex, contemporary use cases Understand why replayable logs such as Kafka provide a backbone for both service communication and shared datasets Explore how event collaboration and event sourcing patterns increase safety and recoverability with functional, event-driven approaches Build service ecosystems that blend event-driven and request-driven interfaces using a replayable log and Kafka’s Streams API Scale beyond individual teams into larger, department- and company-sized architectures, using event streams as a source of truth