Microservices Data Patterns: CQRS & Event Sourcing

Different types of data require different approaches of how you distribute & manipulate your data. Update frequency? Staleness? Legacy or new? Push or Pull? Check this session to see how different technologies can be applied to solve a plethora of data scenarios with different requirements.

“One size does not fit all.” And this is still specially true for your distributed data! Different types of data require different approaches of how you distribute & manipulate your data. Update frequency? Staleness? Push or pull? Legacy or new? Cache or direct read? Event Sourcing? Business or low-level events? Check this session to see how different technologies such as Data Virtualization, Change Data Capture, In-memory Data Grids, Reactive Programming and much more can be applied to solve a plethora of different data scenarios with different requirements.

Schedule info
Session Time Slot(s): 
Thursday, June 14, 2018 - 14:15 to 14:50
Malys Malys's picture

Hi Clement,

Please, could you publish slides and provide us GitHub repository?

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