NEXT UP: SAN FRANCISCO, APRIL 17-18, 2019

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DataEngConf SF '19 is on April 17-18, 2019

Upcoming Events

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Past Events

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Our community features data engineers and scientists from hundreds of top organizations

| WHAT TO EXPECT @ DataEngConf |

INSPIRING TALKS

Two days of highly-technical talks by dozens of leading data scientists and engineers from top teams like Facebook, Lyft, Instacart, Airbnb, Citus Data, Pivotal, Netflix & more.

SPEAKER OFFICE HOURS

Connect and exchange ideas with speakers and other data scientists and engineers within a smaller group setting during speaker office hours.

MEET DATA STARTUPS

Hear lightning talks from the most interesting startups doing innovative things with machine learning, computer vision, NLP, artificial intelligence and other forms of data goodness.

SPONSOR SPOTLIGHT

Connect with partner companies at Sponsor Spotlight to discover what top data jobs are available and their latest product developments.

EAT. DRINK. PARTY. NETWORK.

Enjoy extensive networking opportunities at the conference, or connect with speakers & attendees at our after-party between conference days. Breakfast, lunch and coffee also included with your conference badge.

| OUR SPONSORS INCLUDE |

| 2018 SPONSORSHIP |

Interested in sponsoring a DataEngConf event?

| WHAT PEOPLE ARE SAYING |

“DataEngConf is a data engineering conference right in the sweet spot. Large enough to attract reputable speakers, knowledgable engineers and growing companies, from startups to big enterprises. Small enough to keep the event productive, intimate and community driven. The speaker office hours are particularly insightful and different from other events out there.”

— Andrew Staller - Developer Evangelism, Timescale

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About DataEngConf

DataEngConf is the first technical conference that bridges the gap between data engineering and data science hosted by Hakka Labs - a community for software engineers, data scientists and data analysts centered around open source data technologies. Our events, content, and training programs are designed to give engineers the knowledge and insights to build scalable, analytical systems to handle ever-increasing amounts of data.

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