CONFERENCE DETAILS

 

Engaging Talks

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, Databricks, LinkedIn, Stanford University & many more.

 

6 Unique Tracks

This year, we are offering 10 unique and exciting tracks, including: Data Eng & Infra, Data Sci & Algos, ML Ops & Platforms, Analytics, Applied AI, Lightning Talks, Data Streaming, Building Data Products, and Data Culture & Community.
 

Community-Powered

We are a diverse group of geeks, coders, scientists, analysts, and more. We care deeply about local data communities, no big $$$ sponsors here, just data nerds, like you & I.            

 

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 (talks and slides) for the community, for free. See below! 

 

Participate in Workshops

This is two-day track dedicated fully to peer-led Workshops, provided for free. Participants try out the latest products alongside their creators, get hands on experience with innovative tools, and meet some of the most talented builders in our industry. 

 

Networking That Works

Our popular "Speaker Office Hours" format allows attendees to interact directly with each speaker after their talk. Office hours, Workshops, and our Data Community Party allow you to meet data influencers who will positively impact your career.

Austin 2023 Track Hosts

Maggie Hays

DataHub Community Product Manager

Acryl Data

Scott Truitt

VP of Product Management

Collibra

Scott Breitenother

Founder & CEO

Brooklyn Data

Eric Sammer

Founder & CEO

Decodable

Carlos Aguilar

Founder

Glean

Daniel Francisco

VP of Product

ZipRecruiter

David Aronchick

Director, Research Development

Protocol Labs

Sean Taylor

Chief Scientist

Motif Analytics

Shinji Kim

Founder & CEO

Select Star

Conference Committee

Pete Soderling

Pete Soderling - Chair

Pete Soderling is the founder of Data Council and the Data Community Fund. As a former software engineer, repeat founder and investor in more than 40 data-oriented startups, Pete’s lifetime goal is to help 1,000 engineers start successful companies. Most importantly, Pete is a community builder — from his earliest days of working with the data engineering community starting in 2013, he has witnessed the unique power of specialized networks to bring inspiration, knowledge and support to technical professionals. 

 

Previously, Pete founded Hakka Labs (a social network for software engineers), Stratus Security (an early cloud-based API platform) and mechanikal (a software development agency in NYC). He is a graduate of New York University, has spoken at events such as TEDx, O’Reilly Strata and QCon, and has worked actively in supporting technical founders around the globe.

Austin 2023 Conference Tracks

Data Eng & Infra

Data Engineering & Infrastructure focuses on modern data engineering workflows, storage systems, design patterns and more. Themes in this track are centered around the most important pieces of the data pipeline workflow: data-ops, data quality, ingest & ETL/ELT, monitoring, metadata and other issues pertaining to the modern data stack.

Data Sci & Algos

The Data Science & Algorithms track is focused on helping data science professionals be more effective in their role. We discuss helpful algorithms, modern research and data science frameworks & methodologies that can be useful in data science functions across the enterprise.

ML Ops & Platforms

This track focuses on the engineering behind existing and novel machine learning systems, frameworks and tooling. You’ll learn about topics such as data preparation, feature engineering, model quality & monitoring, ml-ops, and best practices in generalizing ML workflows.

 

Analytics

The Analytics track focuses on tools and techniques for data analysts, covering topics such as Business Intelligence (BI), customer analytics, A/B testing and data visualization. You’ll learn about how top teams are solving their analytics challenges and discover the best new tools in the process.

Workshops

This is two-day track dedicated fully to peer-led Workshops, provided for free. Participants try out the latest products alongside their creators, get hands on experience with innovative tools, and meet some of the most talented builders in our industry.

Data Streaming

This track looks at various tooling used to build real time applications and the underlying data infrastructure that supports the movement of data to computation. Examples of talks include case studies on how applications use messaging systems, how applications maintain consistency and correctness while ingesting large amounts of data, and computational frameworks for processing streaming data with low latency.

Applied AI

The Applied AI track demonstrates the intersection of applied deep learning methods in product form. It covers topics such as Large Language/Transformer Models, generative AI, product-based implementations of new research methods and exciting new features powered by machine learning inside products.

Lightning Talks

In this track we’re creating space for smaller, earlier stage startups who might not have full resources to prepare a full length conference talk but will still benefit from sharing with the community a short, distilled idea, a new OSS project, or a quick demo of something interesting they’ve built.

 

Building Data Products

In the modern data era, teaching companies how to harness the power of data inside their products presents new challenges for product managers. Come to this track to better understand how top teams are executing full-stack product development of data-oriented products. You’ll learn how to tool your team to work effectively with your own data engineering and science teams as you build the data-oriented products of the future.

DevRel & Community

A brand-new track at Data Council this year, DevRel & Community is a place for community leaders to share stories and insights on how they’ve grown ecosystems around their own projects & products. Open-source software (OSS) represents a significant category of tools at Data Council, and this track provides a space for top community professionals to learn and share from each other and to explore the culture that enables their teams to be effective.

VIEW THE SCHEDULE

Apr 17, 2019 1548320400000

Welcome, announcements & track host intros (Pete Soderling)

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Apr 17, 2019 1548321300000

Keynote 1

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Apr 17, 2019 1548324000000

Talk 1

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Austin 2023 Sponsors

PLATINUM

Star Burst

GOLD

Census
Databand
decodable
acryldata

SILVER

cube
Materialize
monte-carlo
hightouch
carto-1
dremio
anomalo
snowflake-1

BRONZE

bit.io
Continual
dagster
databricks
eventstore-1
onehouse
privacydynamics
Rudder
unskript
y2

COMMUNIT Y PARTNERS

datastack
Partner With Us

What Our Attendees Say

It's no secret that Data Council has been one of my favorite conferences, as it is for many other data professionals. Data Council is unique because it's organized by technical experts, for technical experts. While there are great conferences to discuss academic research, there are few where you can hear from the next generation of data experts in the industry, and at Data Council, the speakers are almost exclusively the founders of some of the most disruptive startups in the space. 

Jennifer Prendki

Founder & CEO
Alectio

Jennifer Prendki
Just wanted to reach out to thank you for the opportunity to speak at the conference. 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.

Neelesh Salian

Senior Software Engineer
Stitch Fix

Neelesh Salian
Thanks for organizing Data Council. I really enjoyed the conference! I think you managed to build something with the right balance of tech and business content. Definitely one of the best conferences I attended this year. Not only that the talks were valuable but I enjoyed speaking to other participants. I found that many of them face similar challenges to the ones we deal with on a daily basis. Looking forward for the next one.

Gideon Mendels

Co-founder & CEO, Comet.ml

Gideon Mendels