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Staying with Oracle and databases. In the data lake world it has already been the case for a while, but now AWS is also sending the message that the "one database technology can do it all" era is over. It's now a heavily use-case specialized field. Want a good overview of the different specialized databases? Have a look at these slides and the session video.
Kafka adoption for messaging has increased. Microsoft has already a beta in place to provide Kafka support for their (proprietary) EventHub. Customers have spoken and now AWS is doing the same although be it more in a managed IaaS approach. Kinesis remains their proprietary full PaaS approach.
I attended several sessions where customers presented their use cases. Seems that nobody is afraid of using open source tooling to fill in the specialized gaps that their cloud provider doesn't have.
During the customer presentation of BMW there was a clear statement that they were "taking IT back". In other words: they were ending the big outsourcing contracts and taking IT back in house (with a cloud provider like AWS doing the heavy lifting). Got the impression that many large enterprises were looking at it this way.
All in all, lots and lots of information, and time well spent!
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