Steve Denning discusses the three laws that are key to sustaining business agility: the law of the customer, the law of the small team and the law of the network.
Doug Daniels discusses the cloud-based platform they have built at DataDog and how it differs from a traditional datacenter-based analytics stack, pros and cons and the tooling built.
Mike Olson presents several use cases where big data is collected and analyzed to gather insights from the automotive, insurance, financial, and other sectors.
Heidi Waterhouse discusses seven issues to tackle during project development: Localization, Security, Extensibility, Documentation, Affordance, Acceptance, Accessibility.
Mikey Cohen presents real examples of how gateway services, built on top of Netflix's Open source project, Zuul, are used in front of nearly all of Netflix's consumer facing traffic
Adrian Fittolani introduces the Monte Carlo Simulation, an empirical mathematical method used to estimate project timelines.
Fabrizio Romano proposes using TDD to transform business requirements into tests, driving code and tests development in harmony.
Jim Porzak discusses creating an analyst ready data mart that is complete at different levels of abstraction and models customer decision points in order to be able to understand customers.
Saul Caganoff discusses the different use cases for API consumption and the technical affordances API designers can provide to support those use cases.
Peter Bourgon and Matthias Radestock explain the theory behind Weave Mesh, some of the important key features, and demonstrate some exciting use cases, like distributed caching and state replication.
Ian Dugmore and Jonathan Smart tell the story of Agile transformation across Barclays, what they have done and how they’ve done it, and the challenges bringing about culture change.
Kriti Sharma talks about how Barclays is solving some of the toughest big data challenges in financial services using scalable, open source technology.
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