Latest Tech Views

How is the changing architectural landscape shaping how we should look at data and systems integration? How we shape the connectivity between legacy systems and newer applications and devices, where data can securely flow across the business and boundaries and be reused to speed up development time is becoming more and more prevalent.

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Let's start at the beginning … "A data lake is usually a single store of all enterprise data including raw copies of source system data and transformed data used for tasks such as reporting, visualization, analytics and machine learning."

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Who can add users stories? Who's responsible for ensuring user stories are ready? When do we work on user stories? How much time should be spent, and by whom? How much information is needed in a user story?

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Fostering an environment of "intentional yet emergent" architecture is not easy! Is it possible to be BOTH intentional in our design and architecture, while still leaving space/room for emergent design through the (agile) iterative delivery process?

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