What To Expect

Inspiring Talks

Two days of highly-technical talks by dozens of leading data scientists and engineers from top teams like Facebook, Lyft, Google, Instacart, Airbnb, Standford University, Citus Data, Spotify, 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 that immediately proceeds most talk on the main stage.

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 and get inspired to do more with less.

Partner Spotlight

Connect with partner companies at Partner Spotlight to discover what top data jobs are available and their latest product developments, you might have a new an exciting career move waiting around the corner.

Eat, Drink, Party & Network

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

Community Powered

Data events are usually impressively lined up with the most accomplished and triumphant: their success is surely easy to recognize, but what’s much harder is to dig into their best kept secrets and the real practices they preach and work by. At Data Council, our on-stage and off-stage programs like Speaker Office Hours is going all out to give you the best, hands-on advice by data geeks, for data geeks. Oh and did we mention our No Bullshit approach to speakers and partners allows you to get the unfiltered truth, void of most commercial messages.
Connecting the world to Data Council

A New Name, Same Core Beliefs

We are built and powered by our community, and we aim to get a diverse set of speakers, attendees and partners involved in each one of our events. A independent community powered council of experts validate each speaker, their credentials and their talk to ensure only the highest quality talks at our events.

Formerly known as DataEngConf, the event series was created back in 2014. The data industry is changing fast, and Data Counil has grown right along with it. We felt that the important future of AI could not be left out of our core DNA, so we've added it right into the heart of our brand, along with new features and tracks to reflect challenges that have emerged in the data field.

This requires more from us as a brand, and as a global community, since we still want to be rooted firmly in the community. We also want to ensure that Data Council is the primary community driven, open sourced focused event for all members of the data community, be it software engineers, data scientists, CTOs, ML engineers or technical founders who want to discover tools & insights to build amazing products. This includes spanning multiple geographies, having more competitive pricing than our peers, and offering unique features that take your event experience past the two days and into your entire career.

Data Council has grown from a 50 person San Francisco only assembly to a world-renowned global event, now spreading globally through New York City, Barcelona and this year Singapore. The philosophy behind Data Council has remained the same: to help the next generation of great data engineers and scientists, conquer the world and grow their businesses through no-bullshit talks and in-depth immersion.

We have room for everyone.

Are you a hero-engineering team of two at a new start-up or part of a successful data-team within a big enterprise? We have room for all of you. We have worked with companies and organizations big and small. Here is a summary of some of our previous partners and speakers: Airbnb, Columbia University, Apache SW, TapRecruit, Beeswax, Datadog, WeWork, Starburst, Figure Eight, Dia&Co, Netflix, Facebook, VividCortex, Buzzfeed, Lyft, Stitch Fix, Cortico, MIT Media Lab, Atlassian, Markable.ai, TripleLift, Endgame, Criteo Labs, Bowery Farming, Standford University, Intent Media, Pandora, Lightbend, Second Measure, GitHub, Mode Analytics, Meltwater, Linc Global, Salesforce, Comet.ml, Datalogue, Datacoral, Capital One, Via Transportation, Clarifai, Foursquare, Oscar, WayUp, GitLab, Mt. Sinai, Barclays Investment Bank, Satellogic, Data Artisans, Stripe, Eurecat, Big Data Inst. ,BBVA, Uber, Schibsted, Fishtown, Intermix, LINE, GO-JEK, Badi, Lernin Games, Google, Cabify Schibsted, Eurecat, Yara, Zetta Venture, Fivetram, UC Berkeley, MemSQL, Apache Arrow, Pivotal, Apache Spark, Citus Data, Apache Calcite, Databricks, Collective Health, Apache Parquet, Circonus, Workday, Clover Health, Instacart, Opendoor, LetGo, and many many more.

Meet All Partners

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Our Next Event

Next Event: San Francisco '19

At the Mission Bay Conference Center

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Inspiring Talks

Our Tracks

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.

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.

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Details on our *No Bullshit Guarantee

This might just be our Marketing Team daydreaming, but we actually, truly, honestly, (okay you get it) 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 are in your GitHub) but most of all we want you to feel good about attending Data Council.

We want you to feel good about buying a ticket for Data Council so that's why we offer a full refund up until 30 days prior to the event. (After that we offer to transfer your ticket to a colleague or a future Data Council event). Additionally we unfortunately cannot retroactively apply any special rates, coupons or discounts once the ticket has been purchased.

We are good at detecting bullshit, but in case we missed it, just let us know at community@hakkalabs.co and we will make it right!