.webp?width=250&height=78&name=DC-Logo%20Type_%20Invert(1).webp "Data Council")
Data Council is the first community-powered data-platforms, science, & analytics event for software engineers, data scientists, deep learning researchers, and technical founders who want to discover tools & insights to build AI-based products.
Our talks are backed by our 100% No Bullshit Guarantee* and delivered by leading data scientists and engineers from top organizations like Facebook, Netflix, Lyft, Salesforce, Colombia University, WeWork, MIT & many more.
Tired of mega-conferences where it's hard to interact with people? We are too, so we aim to keep attendees under 500 for each of our events. Our attendees are also highly-skilled data scientists, engineers, analysts & engineering managers.
We believe in Open Source; code, content and mentality. We feature top open source contributors and tools at our talks. Afterwards, we publish all content (talks and slides) for the community, for free.
Want to meet make sure you meet awesome data people with your interests? Our new #GeekMatch service will introduce you to to a few likeminded attendees. Say goodbye to awkward introductions!
Experience our popular "Speakers Office Hours" format plus our favored Data Community Party. Through our intentional matching
MVP, Software Engineering for Messaging, Conversational AI and Innovation Platforms
Capital One
.jpg?width=500&name=Pete%20Soderling%20(1).jpg "Pete Soderling")
Pete Soderling is currently the founder & CEO of Data Council. As a former software engineer, serial founder and investor in data-backed startups, his passion is in building valuable resources and community for data scientists, engineers, analysts and product managers. Previously Pete founded Hakka Labs (a social network for software engineers), Stratus Security (an early cloud-based enterprise API platform) and mechanikal (a software development consultancy in NYC). A graduate of New York University, Pete has served as a mentor for 500 Startups, has been a TEDx, O’Reilly Strata and QCon speaker and has worked with technical founders across the globe.
Adam spent more than 4 years at Buzzfeed where he was a Principal Data Scientist. Adam holds a PhD in physics. He's now heading Barclays's research data science team, and teaching applied causal inference at Columbia's Data Science Institute where he is an Adjunct Assistant Professor.
Wes is Director of Engineering, Advanced Analytics at Cortico. He's also Technical Advisor at Chartbeat and a Visiting Researcher at the Laboratory for Social Machines at the MIT Media Lab.
This track focuses on classic and modern data engineering workflows, databases and more. Some talks also discuss pipelines and systems that are tailored to data science and machine learning tasks.
Our speakers will cover high-level architectures, best practices and detailed solutions for designing large scale pipelines and databases, reproducibility of ML experiments, automated deployment of ML models in production, algorithms for optimization of a new generation of databases and continuous data pipeline monitoring.
This track will appeal to hands-on data engineering practitioners who fluidly cross the boundary between development and operations.
This track looks at infrastructure used to build real-time applications and the underlying data infrastructure that supports the movement of data to computation. Speakers will cover topics such as lessons learned from moving to a Kafka-based setup, using KSQL, implementing a custom streaming SQL engine, streaming metrics and the future of event-based applications.
This is a practical track for data engineers looking to design the backbone of a data intensive application architecture.
This track is focused on the cutting edge of data science. Stretch your brain with talks on the speculative side of the spectrum that represent the new future of data science and machine learning. This track will also cover topics such as NLP and unsupervised deep learning as well as potential applications in predicting user behavior or building knowledge graphs.
The goal of this track is to share lessons from past attempts to use new technologies, to encourage the diffusion of technology from academic research into industry, and to provide inspirational examples of the creative application of research toward creating the technologies of our future. This track is for anyone looking for inspiration to innovate in product development by applying new research, and is interested in listening to an occasional academic-level research talk.
The goal of this track is to share best practices about everyday data science from top practitioners. It features talks that cover common challenges facing data science teams and ICs – while reminding us of the tremendous power of data, analytics and ML applied in a business context. Come and learn from each other's hard lessons and avoid common pitfalls.
This track is for the everyday data scientist, or engineers wanting to learn more about what data science is all about. Talks will obviously get into technical detail, but will also be of interest to product managers wanting to understand how to do more to integrate data science into their product development process.
This track will cover various topics related to building data organizations as well as the ethical implications of the work we do as data professionals (understanding bias, privacy implications, etc.). Some companies are just getting started with data, some have a more mature data team and process, and some simply have too much data and too small of a team to manage it! On top of it all, many are unaware (or perhaps unconcerned?) about the ethical implications of their work.
As our data teams continue to push the technical boundaries of what is possible, the ethical implications of massive data repositories combined with advanced data mining techniques, machine learning algos, and deep learning in general are raising important considerations in the area of data ethics. Ethical issues often raise discussions regarding organizational and cultural challenges as well.
This track will be applicable to you if you are an engineering or data manager who wants to build a stronger organizational culture around data, and if you are concerned about policy and ethical considerations surrounding the use of data and AI in your organization.
We aim to keep attendees lower than 500 attendees for any Data Council event or conference. We've been there too, and we know the reason you attend conferences is not to be sold to or lose yourself in a massive sea of attendees.
Aiming for less than 500 attendees ensures that you have a fair chance to engage with speakers 1:1 on your favorite track during Speaker Office Hours. It's worth noting that this is not a watered-down "mega-conference," but an intentional community-powered conference for engineers & scientists, by engineers & scientists, like yourself!
Generally, our conferences attract between 300-500 people depending on the season, location, and speakers.
Most speakers hold "office hours" after their talk, which are a great opportunity to take the discussion further in a smaller setting.
Unlike Q&A where you are usually limited to asking one question, you will be able to have an in-depth back-and-forth discussion with the speaker and like-minded attendees - a great way to learn more and build long-term relationships.
Attendees often mention Speaker Office Hours as one of their favorite perks of attending our events.
Our big apple Data Council event is hosted annually at Columbia University in the City of New York. This ivy-league education facility is world-renowned for it's accomplished alumni, rich history and commitment to education and research. It is conveniently located close to down-town New York City and a short drive away from the Jersey side.
Get directions here: https://goo.gl/maps/1EoYuhXtRHcY3cEn9
Street Address: Alfred Lerner Hall, 2920 Broadway, New York, NY 10027, USA
| Super Early Bird $699 Sold Out |
Early Bird $799 Sold Out |
Regular Ticket $949 Sold Out |
Late Bird $1099 Sold Out |
|
|---|---|---|---|---|
| Access to the Entire Event + All Tracks |
✔ | ✔ | ✔ | ✔ |
| Free Breakfast, Lunch, Snacks & Drinks |
✔ | ✔ | ✔ | ✔ |
| Access to Breakout Sessions | ✔ | ✔ | ✔ | ✔ |
|
Access to Speaker Office Hours |
✔ | ✔ | ✔ | ✔ |
|
Free Event After-Party |
✔ | ✔ | ✔ | ✔ |
|
Early Access to Conference Recordings |
✔ | ✔ | ✔ | ✔ |
|
No Bullshit Guarantee* (See below) |
✔ | ✔ | ✔ | ✔ |
|
|
|
|
Sed auctor neque eu tellus rhoncus ut eleifend nibh porttitor. Ut in nulla enim. Phasellus molestie magna non est bibendum non venenatis nisl tempor. Suspendisse dictum feugiat nisl ut dapi proin quis tortor orcitiam at risus et justo praesent id metus massa, ut blandit odio.
Vivamus hendrerit arcu sed erat molestie vehicula. Sed auctor neque eu tellus rhoncus ut eleifend nibh porttitor. Ut in nulla enim. Phasellus molestie magna non est bibendum non venenatis nisl tempor. Suspendisse dictum feugiat nisl ut dapibus. Mauris iaculis porttito.
At vero eos et accusamus et iusto odio dignissimos ducimus qui blanditiis praesentium voluptatum deleniti atque corrupti quos dolores et quas molestias excepturi sint occaecati cupiditate non provident, similique sunt in culpa qui officia deserunt mollitia animi.
Want to get your company to pay for your Data Council ticket? Just fill out this form and we'll send them an email.
We will show them the benefits of sending you to the event (we will of course BCC you on the email) - See example
Start Now
By submitting this form we will send your manager a one-time email, additionally you will also automatically get updates about future events, competitions, offers and community news from DataEngConf and Hakka Labs. We will never sell your data and you can unsubscribe at any time, see our privacy policy for details
Close
From: Pete Soderling (Our Founder)
Subject: Your Employee wants to attend
Gmail Preview Text: Improve employee engagement, retention, and recruitment efforts. 💪
Hi Very Cool Manager,
I’m writing because I have some great news: Your very cool data geek wants to attend the next
Data Council is not the standard watered-down “big data” conference you might have attended previously - instead we are built and run by software engineers, developers and data geeks. We have teams from across Europe, the US and Asia participating every year with companies lots of very cool data engineering or data science companies along with many awesome speakers.
This year hundreds of data geeks like you and I will celebrate learning and sharing at Data Council.
Event Details Go Here
We’d actually love to have the both of you attend. The event includes 2 full days and
Your employee is eagerly awaiting your response, so send them an email. This will make their day!
And if you have any questions just shoot me an email: pete.soderling@datacouncil.ai
Cheers,
–pete
Founder, Data Council
.jpg?width=450&name=Qubole%20(1).jpg "Qubole")
.jpg?width=450&name=Capital%20One%20(1).jpg "Capital One")
.jpg?width=450&name=IBM%20(1).jpg "IBM")
| Data Council | QCon.ai | O'Reilly Strata | Gartner® Data | |
|---|---|---|---|---|
| Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. | $699 | $1,620 | $1,645 | $3,700 |
| 2 Full Days of EventsMinimum length of the conference or event. | ||||
| Food & Drinks IncludedIs some form of food, drinks or snacks provided. | ||||
| Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event. | ||||
| Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public. | ||||
| Speaker Office HoursDoes the conference or event offer Speakers Office Hours. | ||||
| Open Call for SpeakersAre the speaker submission, review & acceptance process open to or including the public. | ||||
| Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees. | ||||
| Free Community PartyIs there an event after-party offered (dinners not included) | ||||
| Offers a Refund PolicyYou can get your ticket refunded up to 45 days before the conference | ||||
| Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not). | Nope | |||
| Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price. | Absolutely not | |||
| Full of non-technical peopleDoes the conference or event publically invite non-technical data engineers or scientists. | Definitely not |
| Data Council | |
|---|---|
| Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. | $699 |
| 2 Full Days of EventsMinimum length of the conference or event. | |
| Food & Drinks IncludedIs some form of food, drinks or snacks provided. | |
| Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event. | |
| Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public. | |
| Speaker Office HoursDoes the conference or event offer Speakers Office Hours or similar product. | |
| Open Call for SpeakersAre the speaker submission process open to the public. | |
| Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees. | |
| Free Community PartyIs there an event after-party offered (dinners not included) | |
| Offers a Refund PolicyYou get your ticket refunded up to 45 days before the conference | |
| Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not). | Nope |
| Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price. | Hell no! |
| Swarming with sales peopleDoes the conference or event publically invite non-technical data engineers or scientists. | Definitely not! |
| Qcon.ai | |
|---|---|
| Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. | $1,620 |
| 2 Full Days of EventsMinimum length of the conference or event. | |
| Food & Drinks IncludedIs some form of food, drinks or snacks provided. | |
| Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event. | |
| Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public. | |
| Speaker Office HoursDoes the conference or event offer Speakers Office Hours or similar product. | |
| Open Call for SpeakersAre the speaker submission process open to the public. | |
| Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees. | |
| Free Community PartyIs there an event after-party offered (dinners not included) | |
| Offers a Refund PolicyYou get your ticket refunded up to 45 days before the conference | |
| Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not). | |
| Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price. | |
| Swarming with sales peopleDoes the conference or event publically invite non-technical data engineers or scientists. |
| O'Reilly Strata | |
|---|---|
| Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. | $1,645 |
| 2 Full Days of EventsMinimum length of the conference or event. | |
| Food & Drinks IncludedIs some form of food, drinks or snacks provided. | |
| Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event. | |
| Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public. | |
| Speaker Office HoursDoes the conference or event offer Speakers Office Hours or similar product. | |
| Open Call for SpeakersAre the speaker submission process open to the public. | |
| Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees. | |
| Free Community PartyIs there an event after-party offered (dinners not included) | |
| Offers a Refund PolicyYou get your ticket refunded up to 45 days before the conference | |
| Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not). | |
| Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price. | |
| Swarming with sales peopleDoes the conference or event publically invite non-technical data engineers or scientists. |
| Gartner® Data | |
|---|---|
| Early Bird Ticket PriceLowest published price without any discounts, coupon codes etc. | $3,700 |
| 2 Full Days of EventsMinimum length of the conference or event. | |
| Food & Drinks IncludedIs some form of food, drinks or snacks provided. | |
| Multiple Unique TracksAre multiple unique tracks with separate content offered. These tracks can be shorter than the full length of the conference or event. | |
| Community PoweredDoes this conference represents a global community of attendees engaged in monthly branded meetups around the world. AND Is the vetting process democratized, or otherwise open to the public. | |
| Speaker Office HoursDoes the conference or event offer Speakers Office Hours or similar product. | |
| Open Call for SpeakersAre the speaker submission process open to the public. | |
| Max 500 AttendeesIs the conference limited to under 500 attendees, in order to maximize the value for attendees. | |
| Free Community PartyIs there an event after-party offered (dinners not included) | |
| Offers a Refund PolicyYou can get your ticket refunded up to 45 days before the conference | |
| Has a dedicated "Sponsors Track"Does the event or conference force all sponsors into one unique track where all sponsors give talks (labeled or not). | |
| Upsells you on extrasOffers extra workshops, tracks, recordings, sessions or other additions which are charged separately from the conference or event ticket price. | |
| Swarming with sales peopleDoes the conference or event publically invite non-technical data engineers or scientists. |
Competitive data collected is accurate from "qcon.ai", "conferences.oreilly.com/strata", "gartner.com/en/conferences/na/data-analytics-us", and "odsc.com/california" as of January 23, 2019. Data Council is not affiliated with any of the competitors listed. Notice an error in our data?
Receive occasional news, tips and special events from our community directly to your inbox (we promise no spam)
Want to present a talk at our next data science & engineering event? Barcelona, New York, San Francisco or Southeast Asia, the choice is yours! Our event will include hundreds of attendees and many speakers from top data teams across different industries. To make each event better than the last, we're welcoming the community to contribute their talk ideas.
Want to volunteer at our next data science & engineering event? Barcelona, New York, San Francisco or Southeast Asia, the choice is yours! Our event will include hundreds of attendees and +50 other speakers from top data teams at tech, healthcare, finance and media companies.
We want you to feel good about buying a ticket for Data Council so that's why we offer a full refund up until 45 days prior to the conference start date. After that, we offer to transfer your ticket to another person OR exchange it for a ticket for a future Data Council conference of your choice.
We truly believe in authentic and deeply technical community events and we want you to enjoy them as much as we do. We want you to learn, grow, build, engage, launch, laugh and maybe cry (depending on what kind of repositories you follow on GitHub) but most of all we want you to feel good about attending Data Council.
We are good at detecting bullshit, but in case we missed it, just let us know at community@datacouncil.ai and we will make it right!
