UPCOMING DATA COUNCIL EVENTS

Upcoming Data Council Events

Data Council San Francisco 2019

April 17 - 18

Wonderful San Francisco Will Host An Amazing 6 Unique Tracks This Year, It Will Be Bigger, Bolder And More Unique Than Ever Before. Be The First To Get Notified on San Francisco 2019 Ticket Availability, Schedules, Speakers and More!

Buy Tickets Now >

Data Council Barcelona 2019

September

Be The First To Get Notified on Barcelona 2019 Ticket Availability, Schedules, Speakers and More!

Pre-Register for BCN >

Data Council New York 2019

November

The Big Apple Will Host The Best Of The Best Again In 2019. Get Notified on New York 2019 Ticket Availability & more.

Pre-Register for NYC >

Meet Some Of Our Speakers

James Savage

James Savage

Head of Data Science | Lendable

James Savage

James Savage

Head of Data Science | Lendable

James Savage is an applied modeler and Data Science Lead at frontier markets lender Lendable in New York City. Previously he was at the Grattan Institute, La Trobe University, and the Australian Treasury. He is currently writing a book on Bayesian Econometrics in Stan.

Adam Kelleher

Adam Kelleher

Chief Data Scientist | Barclays Investment Bank

Adam Kelleher

Adam Kelleher

Chief Data Scientist | Barclays Investment Bank

Adam has a PhD in physics and has spent the past several years doing data science at BuzzFeed. He's now heading Barclays's research data science team, and teaching applied causal inference in Columbia's data science institute.

speaker1-800x800_wm3.jpg

Gideon Mendels

Co-founder & CEO | Comet.ml

speaker1-800x800_wm3.jpg

Gideon Mendels

Co-founder & CEO | Comet.ml

Gideon Mendels is the Co-founder & CEO at Comet.ml, a platform for data scientsits to automagically track their datasets, code changes, experimentation history etc.

Previously he worked at Columbia University as a Researcher in Spoken Language Processing Group (GRA) where he took part in the IARPA Babel program for speech recognition technology for low resource languages. He also implemented and trained deep learning classifiers for language identification for over 500 languages. He also co-founded GroupWize, a platform that analyzes chat conversations from WhatsApp, LINE and other group messaging platforms.

speaker1-800x800_wm3.jpg

Andreas Mueller

Associate Research Scientist | Columbia University

speaker1-800x800_wm3.jpg

Andreas Mueller

Associate Research Scientist | Columbia University

Andreas Mueller is a lecturer at the Data Science Institute at Columbia University and author of the O'Reilly book "Introduction to machine learning with Python", describing a practical approach to machine learning with python and scikit-learn. He is one of the core developers of the scikit-learn machine learning library, and has been co-maintaining it for several years. He is also a Software Carpentry instructor. In the past, he worked at the NYU Center for Data Science on open source and open science, and as Machine Learning Scientist at Amazon.

Sahaana Suri

Sahaana Suri

Graduate Researcher

Sahaana Suri

Sahaana Suri

Graduate Researcher

Sahaana Suri is a third year PhD student in the Stanford InfoLab, working with Peter Bailis. Sahaana’s research focuses on building easily accessible data analytics and machine learning systems that scale. She holds a bachelor’s degree in electrical engineering and computer science from the University of California, Berkeley.

James Faghmous

James Faghmous

Asst. Prof/ CTO of Arnhold Institute

James Faghmous

James Faghmous

Asst. Prof/ CTO of Arnhold Institute

James H. Faghmous is an assistant professor and founding Chief Technology Officer of the Arnhold Institute for Global Health at the Icahn School of Medicine — Mount Sinai in NYC. At the Arnhold Institute, James leads both data science research and product development where he launch the ATLAS data platform to close health disparities around the world. In 2016, ATLAS was selected as winner of the USAID Zika Grand Challenge. The following year, it won the Bill and Melinda Gates Foundation Explorations Grand Challenge. James’ research focuses on developing novel methods to combine heterogenous data to understand how social, economic, and environmental factors create health inequities.

Sam Stokes

Sam Stokes

Engineer

Sam Stokes

Sam Stokes

Engineer

Sam Stokes is a software engineer who can't leave well enough alone. He's compelled to fix broken things, whether they are software systems, engineering processes or cultures. After watching too many systems catch fire, he's building better smoke detectors at Honeycomb; in a past life he cofounded Rapportive and built recommendation systems at LinkedIn.

JIM KLUCAR

JIM KLUCAR

Director of Data Science

JIM KLUCAR

JIM KLUCAR

Director of Data Science

Jim Klucar is the Director of Data Science at Immuta, the fastest way for algorithm-driven enterprises to accelerate the development and control of machine learning and advanced analytics. After a dozen years of developing high performance radar processing techniques, in 2010 he switched to developing Hadoop-based data warehouse and analysis systems. Jim holds a BS in Electrical Engineering from Pennsylvania State University and a MS in Applied and Computational Mathematics from Johns Hopkins University.

VIEW ALL SPEAKERS

Talks that keep you Awake!

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, Stanford University, WeWork, MIT & many more.

6 Unique Tracks

This year we are going all in and offering you six unique tracks focusing on: Data Platforms & Pipelines, Machine & Deep Learning, Databases & Tools, Data Analytics, AI Products and Hero Engineering.

Likeminded Attendees

Tired of suits sitting next to you at a "data" conference? We are too, so that's why our attendees are highly-skilled data scientists, engineers, analysts and engineering managers from top companies and startups.

Born to be Open Source

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 for the community, for free.

Community Powered

We are a diverse group of geeks, coders, scientists, analysts (& a former astronaut serving your lunch). We care deeply about local data communities, no big $/€ sponsors here, just data nerds, like you & I.

Networking that works

Experience our popular "Office Hours" format plus our favored Data Community Party. Through our intentional matching opportunities you'll meet data influencers who will positively impact your career.

San Francisco 2019 Tracks

Tuesday - April 17, 2019
9:00AM - 7:00PM

  •  Data Platforms & Pipelines
    Our Data Platforms track gives practical examples of full-stack data architectures, data pipelines and plumbing systems, and reference examples of ETL & workflow schedulers. This track is always a favorite among post-event reviewers. This track represents the original ‘data platform stories’ the event was initially founded on.
  •  Databases & Tools
    Engineers in our community are intrigued by database theory, and there are many academics working on interesting projects in the field of databases we want to learn about. This track also dives into different usecases for NoSQL, Graph and Document stores, database scaling examples, and occasional stories about engineers rolling their own data storage layer or any other custom data tooling they built to solve a specific problem.
  •  Data Analytics
    Today's data driven businesses are working to unravel and interpret correlations among petabytes of complex data generated every day. Example track topics include A/B Testing, causal inference talks that focus on business intelligence and data mining.

Wednesday - April 18, 2019
9:00AM - 5:00PM

  •  AI Products
    AI Products demonstrates applied machine learning methods in product form. Hear stories about the full stack product development of data-oriented products, product-based implementations of new research methods, or machine-learning powered features inside products (i.e. recommendation systems, NLP based features, scoring, etc.). This is a product-focused track, with talks typically given by technical founders at startups or product managers with technical backgrounds.
  •  Hero Engineering
    The Hero Engineering track contains the stories of teams that build surprisingly high-impact data systems with few resources. These can be full-stack data platforms or can go deep into one particular area or problem solved in a creative way. Talks are typically delivered by startups working to build "a lot with a little", hacky MVP implementations, "how we built our first ...." data pipeline/recommendation algorithm/data science team/etc.
  •  Machine & Deep Learning
    Machine intelligence is one of the most exciting advancements of our time and is responsible for powering the AI products of the future. Hear from top researchers and teams building the most powerful systems using supervised and unsupervised methods, reinforcement learning and neural networks.
VIEW FULL SCHEDULE

Register Now for SF 2019

Need Manager Approval?

Want to get your company to pay for your DataEngConf 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

Partner Companies of Data Council

Airbnb
Datadog
Spotiify
Pinterest_Logo_300x150px
Netflix
WeWork
Facebook
IBM
LinkedIn

What Our Attendees Say

  • Baron Schwartz

    Baron Schwartz

    CTO & Founder | Vividcortex

    Data Council was really great. The vibe and culture were exactly what i felt from following the RSS feeds, Twitter, watching YouTube etc for the last couple of year, and what attracted me to want to come to the event. I really wish i could have stayed both days. I will be recommending it to friends! It was a real pleasure speaking.

  • Maximilian Michels

    Maximilian Michels

    Google, PMC member of Apache Flink & Beam

    Data Council is a great conference for technical talks with real insights to data engineering challenges and solutions. As an engineer who works on open-source software I found it helpful to hear first hand from users.

  • Neelesh Sailan

    Neelesh Sailan

    Senior Software Engineer | Stitchfix

    Just wanted to reach out to thank you for the opportunity to speak at the confernce. As a conference it was very informative and the talks inspired some of my software design approaches. I'm sharing my experiences with my team to help spread the knowledge.

Our Community Is Changing The Future Of Data

You might know us as Hakka Labs or DataEngConf, but now we are Data Council. We're engineers ourselves, and are committed to building the most useful network to connect engineers globally around deeply technical events, training programs and career opportunities.

That's why Data Council has been re-designed to be uniquely different - we start by connecting the local data community with our global network, then layer on vetted speakers plus amazing attendees (like you!).

We believe everyone should be able to attend, regardless if you speak Klingon, collect shoes, sport dolphin hats, have freckles, wear glasses (even if you don't have to), or simply prefer to speak in code.

To learn more about the steps we take to include communities and protect diversity at our events, check out our Diversity Statement.

Remember, this is not the watered-down “big data” conference you may have attended previously - instead Data Council is built and run by software engineers and data geeks, like yourself!

We have teams from across Europe, the US and Asia participating every year along with many cool organizations (you may have heard of them: Facebook, Google, Spotify, Lyft, Apache Foundation, Standford University, etc.) and lots of smart speakers.

Our conference talks are hand-picked by our community. Expect real-world architectures of data pipelines and platforms, applied, practical examples of data science, and cutting edge AI implementations from the best startups we discover.

See you at a Data Council event!
-Pete, Founder @ Data Council 

Buy Tickets Now

Trending Data Talks

VIEW MORE TALKS

Connect with Data Council

Receive occasional news, tips and special events from our community directly to your inbox (we promise no spam)