DataEng
A data engineer is a worker whose primary job responsibilities involve preparing data for analytical or operational uses. The specific tasks handled by data engineers can vary from organization to organization but typically include building data pipelines to pull together information from different source systems; integrating, consolidating and cleansing data; and structuring it for use in individual analytics applications.
Data Engineer, in Whatis.com. Retrieved 2/24/2018. http://searchdatamanagement.techtarget.com/definition/data-engineer
Position on the Adoption Curve
Presentations about DataEng
Next Steps in Stateful Streaming with Apache Flink
Streaming SQL Foundations: Why I ❤ Streams+Tables
Interviews
Next Steps in Stateful Streaming with Apache Flink
How you you describe the persona and level of the target audience?
The typical persona in the audience would be a developer or architect that wants to learn about the power of stream processing (and Apache Flink specifically) and how stream processing and Flink affect the way we process fast data and build data-driven applications today.
What do you want “that” persona to walk away from your talk knowing that they might not have known 50 minutes before?
I want them to come out with a an understanding of both the new types of applications that stream processing allows developers to build, as well as the change in data-driven application architectures that it inspires. They should leave the room with the feeling "wow, I did not that you could build such applications on stream processing at all, and that it would be even that easily".
