SF Data Engineering hosts events where the lead engineers from pre-screened companies showcase their technical challenges.
ONLY ENGINEERS can attend. If you are not an engineer, please be aware that you may be removed from the group.

Software engineers are presently faced with an ever-increasing amount of data as well as a plethora of options for open-source technologies to use to manage it. And the architectures required to process the data into useful information using machine learning, NLP, analytics, etc. are constantly evolving. The SF Data Engineering Meetup tackles the real-world issues in data processing architectures. For our talks we invite top engineers with previous experience in building online, offline and nearline processing systems and ask them to tell us about lessons learned in building their architectures. We're also interested in the practical applications of data science and machine learning, and explore the best ways that current advancements in those fields can be worked into production level data-oriented architectures. If you're involved in data engineering or data science at any level and are looking for real-world engineering war stories on data processing architectures, please join us.

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