Closed triplee78 closed 4 years ago
Hi there! Thank you for taking the time to submit a talk! Speakers like you make the DC tech community awesome — and we’re glad you’re here.
Rest assured that organizers of quite a few meetups have just been notified of your proposal.
Want to target one or two groups specifically? Mention the group by tagging @dctech/[group]
— but please avoid tagging groups at random or tagging more than one or two. Thanks for keeping this group productive and spam-free!
Not interested in giving this talk anymore? Not a problem at all! Thanks for considering it in the first place! Go ahead and close this issue, so we know not to bother you about it.
Hi there — thanks for submitting this talk! It’s been a year since the last activity — would you mind taking a look to see if you’re still interested in presenting about this topic, and if the talk’s content is still up-to-date?
If everything’s still good, just drop a comment here and I’ll pop back into hibernation like a good little robot.
If you’re no longer interested in giving this talk, or the talk is out-of-date, feel free to close this issue.
Should I not hear back in a week, I’ll close this issue so you needn’t feel guilty about it. ❤️
Thanks for your contribution to the tech community in DC!
Keep being awesome! 🤖✨
About You
Your Name: Eric Schiller
Twitter handle (optional): @ericschillerdev
The best way to reach out to you: Twitter, triplee@gmail.com
A quick bio: Eric Schiller is Data Engineer at Excella who brings his years of widely varied IT experience to projects where data and software engineering intersect. His favorite projects are legacy modernizations and finding the middle ground in disparate domains (both technical systems and people with different specialties). He also has a huge interest in technical ethics and peer mentoring.
Your Talk
Title: Data Engineering at the Speed of Software Development: Introducing the DataOps Manifesto
What your talk is about: Rapid changes in data management technology and network infrastructure enabled the field of data science as we know it. Traditional methodologies for handling data projects became too slow to handle the teams working with the technology, driving the need for a new way to manage data teams. The DataOps Manifesto was created as a response, borrowing from the Agile Manifesto, the DevOps movement, and Lean Manufacturing to use the wins of other domains with similar situations, and then tailoring it to data and analytics. This talk covers the principles of the DataOps Manifesto, the challenges that led to it, and how and where it's already being applied in industry.
How long will your talk be?
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Do you need help crafting your talk?