Advanced Data Architecture Patterns

Thursday, 11:00 AM

As we move toward microservices, we learn to properly decompose not only our behavior model, but also our data model into bounded contexts. This data decomposition is not without consequences. By placing strict boundaries around ownership of domain concepts, we make it more difficult to refer to concepts that naturally want to cross these boundaries. How do we “denormalize” these entities effectively? How do we keep these representations in sync? What do transactions look like? How do we ask BIG questions that span multiple contexts? These are the questions that we’ll dive into in this session.

Topics to include:

  • CAP Theorem
  • Embracing Eventual Consistency
  • Command-Query Responsibility Segregation (CQRS)
  • Caching
  • Event Sourcing
  • Lambda Architecture

About Matt Stine

Matt Stine

Matt is a technical product manager at Pivotal. He is a 15 year veteran of the enterprise IT industry, with experience spanning numerous business domains. He is the author of recently published Migrating to Cloud-Native Application Architectures from O’Reilly, available as a free e-book download.

Matt is obsessed with the idea that enterprise IT “doesn’t have to suck,” and spends much of his time thinking about lean/agile software development methodologies, DevOps, architectural principles/patterns/practices, and programming paradigms, in an attempt to find the perfect storm of techniques that will allow corporate IT departments to not only function like startup companies, but also create software that delights users while maintaining a high degree of conceptual integrity. His current focus is driving Pivotal’s solutions around supporting microservices architectures with Cloud Foundry and Spring.

Matt has spoken at conferences ranging from JavaOne to OSCON to YOW!, is a five-year member of the No Fluff Just Stuff tour, and serves as Technical Editor of NFJS the Magazine. Matt is also the founder and past president of the Memphis Java User Group.

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