Data Council Austin '24

Join us in Austin, March 26-28
@ AT&T Conference Center
Get Tickets
DC24-1
We are the No Bullsh*t Data Conference. Sick of sales pitches masquerading as tech talks? We feel you. That's why we're vendor neutral — we source the best tech talks from the data community by experts leading the future of data & AI.
No Bullsh*t Data Conference. Sick of sales pitches masquerading as tech talks? We feel you. Our vendor-neutral community driven event means genuine tech talks from experts leading the future of data and AI.
3 Days-2
## speakers-2
900 attendees-1

What Does "No BS" Mean?

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Deeply Technical
Our speakers provide real technical depth and go beyond white paper-level details. Bonus Office Hours sessions with speakers open to all attendees feature additional in-depth discussions & insights.
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Diverse
We pride ourselves in the absolute diversity of our ecosystem across various axes like gender, race, technology, programming language and more. We even have people who use Windows.
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Visionary
Get inspired by forward-thinking, yet realistic visions of the future of data that will blow your mind.
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Social
Rub shoulders with the brightest minds in data. Come to make meaningful connections with startups, customers, peers, investors & more.
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Vendor Neutral
Data Council is independent - and you can feel the difference. While we love (and appreciate!) our sponsors, we are free from big corporate ownership ensuring we bring you the most honest opinions.
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Free Workshops
Why pay extra to level up your career? Gain practical training on the latest data tools from the architects & builders of the tools themselves.
Join your tribe. Our attendees are data scientists, lead engineers, CTOs, founders, AI researchers, Heads of Data, executives, investors and community organizers who are all building the future of data.
Speakers
Stay Tuned! We'll announce more speakers each week!
All
Data Eng & Infrastructure
Data Sci & Algos
ML OPs & Platforms
Analytics
Data Streaming
Applied & Generative AI
Building Data Products
Community & Culture
Lightning Talks
Workshops
Keynotes
Wes McKinney
The Future Roadmap for the Composable Data Stack
Wes McKinney
Principal Architect
Posit, PBC
Principal Architect, Posit, PBC
DJ Patil
Fireside Chat with DJ Patil
DJ Patil
Former U.S Chief Data Scientist
Former U.S Chief Data Scientist,
Ce Zhang
Coming Soon
Ce Zhang
CTO
Together
CTO, Together
Zhamak Dehghani
Data Mesh: Key to Unlocking the AI Revolution
Zhamak Dehghani
Founder & CEO
Nextdata
Founder & CEO, Nextdata
Emmanuel Ameisen
Emmanuel Ameisen Talk
Emmanuel Ameisen
Research Engineer
Anthropic
Research Engineer, Anthropic
Nick Schrock
Declarative Orchestration: Why You’ve Been Thinking About the Wrong DAG the Entire Time
Nick Schrock
Founder & CTO
Dagster Labs
Founder & CTO, Dagster Labs
Ville Tuulos
Beyond MLOps: Building AI systems with Metaflow
Ville Tuulos
CEO, Co-Founder
Outerbounds
CEO, Co-Founder, Outerbounds
Joe Spisak
Innovating with Open Generative AI
Joe Spisak
Product Director - Llama
Meta
Product Director - Llama, Meta
Noy Twerski
Building a Holistic SQL Chatbot that Solves Real Problems for People in Tech and the Business
Noy Twerski
Co-Founder & CEO
Sherloq Data
Co-Founder & CEO, Sherloq Data
Ofer Mendelevitch
How to build a GenAI Application with Vectara - a Step-by-Step Guide
Ofer Mendelevitch
Head of Developer Relations
Vectara
Head of Developer Relations, Vectara
Laura Cosgrove
Case Studies from a Methodologist on an Experimentation Platform
Laura Cosgrove
Senior Data Scientist
Microsoft
Senior Data Scientist, Microsoft
Michael Eastham
Building a Unified Feature Platform with DuckDB and Arrow
Michael Eastham
Chief Architect
Tecton
Chief Architect, Tecton
Jonathan Talmi
Building a Flexible Data Platform for LLM Training Data
Jonathan Talmi
Manager of Technical Staff
Cohere
Manager of Technical Staff, Cohere
Brent Cohn
Optimization and Contextual Bandits at Stripe
Brent Cohn
Data Scientist
Stripe
Data Scientist, Stripe
Dhruv Singh
Unlocking Reliable GenAI: Strategies for Assessing LLMs in Real-World Applications
Dhruv Singh
Co-founder & CTO
HoneyHive
Co-founder & CTO, HoneyHive
Daniel Olmedilla
Building Responsible and Trustworthy Generative AI Products at LinkedIn
Daniel Olmedilla
Sr. Engineering Director, Trust, Privacy and Responsible AI
LinkedIn
Sr. Engineering Director, Trust, Privacy and Responsible AI, LinkedIn
Benn Stancil
WTF Are We Doing?
Benn Stancil
Field CTO
ThoughtSpot
Field CTO, ThoughtSpot
Chad Sanderson
WTF Are We Doing?
Chad Sanderson
CEO
Gable.ai
CEO, Gable.ai
Mahendra Kutare
How a "Less is More" Approach Stems the Sprawl of Security Data and Makes it More Actionable
Mahendra Kutare
Founder & CEO
Deeptrail
Founder & CEO, Deeptrail
Bart Palmer
Bringing Accuracy and Predictability to Software's Most Intractable Problem: Forecasting Development Timelines and On-Time Delivery
Bart Palmer
CTO
Cardagraph
CTO, Cardagraph
Dash Desai
Build AI Apps with Llama 2 in 10 Minutes with Snowflake Cortex
Dash Desai
Lead Developer Advocate
Snowflake
Lead Developer Advocate, Snowflake
Eric Warner
Using AI, Mathematics, and Statistics to Find Similar Data in Massive Data Ecosystems
Eric Warner
Senior Manager, AI Engineering
Collibra
Senior Manager, AI Engineering, Collibra
Ryanne Dolan
Is Kubernetes a Database?
Ryanne Dolan
Senior Staff Software Engineer
LinkedIn
Senior Staff Software Engineer, LinkedIn
Chang She
Foundations for a Multi-Modal Lakehouse for AI
Chang She
Co-founder and CEO
LanceDB
Co-founder and CEO, LanceDB
Jordan Volz
Introducing lolpop: an Open Source Framework for Machine Learning Workflows
Jordan Volz
Head of Field Engineering
Voltron Data
Head of Field Engineering, Voltron Data
Matt Helm
Real-Time Analytics for Small Data Teams
Matt Helm
Head of Analytics
Materialize
Head of Analytics, Materialize
Franziska Bell
Coming Soon
Franziska Bell
SVP, Digital Technology
bp
SVP, Digital Technology, bp
Solomon Kahn
Driving Revenue By Getting Your Data Outside Your Company
Solomon Kahn
Founder & CEO
Delivery Layer
Founder & CEO, Delivery Layer
Nico Acosta
From Twilio to Propel: Building Real-Time Customer-Facing Analytics at Scale
Nico Acosta
Co-Founder & CEO
Propel
Co-Founder & CEO, Propel
A. Jesse Jiryu Davis
Predictive Auto-Scaling at MongoDB
A. Jesse Jiryu Davis
Senior Staff Research Engineer
MongoDB
Senior Staff Research Engineer, MongoDB
Matthieu Humeau
Predictive Auto-Scaling at MongoDB
Matthieu Humeau
Senior Data Scientist
MongoDB
Senior Data Scientist, MongoDB
Elkhan Dadashov
Streamlining Entry Into Streaming Analytics with JupyterHub and Apache Flink
Elkhan Dadashov
Staff Software Engineer
Apple
Staff Software Engineer, Apple
Colleen Tartow
The Reality of Building a Modern AI Data Stack
Colleen Tartow
Field CTO & Head of Strategy
VAST Data
Field CTO & Head of Strategy, VAST Data
Kenny Wong
From Playgrounds to Production: The Evolution of AI Evaluation at Coda
Kenny Wong
Software Engineer
Coda
Software Engineer, Coda
Kyle Weller
Open Data Foundations across Hudi, Iceberg and Delta
Kyle Weller
Head of Product
Onehouse
Head of Product, Onehouse
Lindsay Murphy
Cost Containment–A Critical Piece of your Data Team's ROI
Lindsay Murphy
Head of Data
Secoda
Head of Data, Secoda
Iaroslav Zeigerman
Evolving Data Pipelines at Scale
Iaroslav Zeigerman
Co-founder & Chief Architect
Tobiko
Co-founder & Chief Architect, Tobiko
Miriah Peterson
Scaling Data Reliably: a Journey in Growing Through Data Pain Points
Miriah Peterson
Software Engineer
MX
Software Engineer, MX
Jake Thomas
Processing Trillions of Records at Okta with Mini Serverless Databases
Jake Thomas
Manager, Data Foundations
Okta
Manager, Data Foundations, Okta
Julien Le Dem
Data Lineage Panel: We’ve Come a Long Way
Julien Le Dem
Open Lineage Project Lead
LFAI & Data
Open Lineage Project Lead, LFAI & Data
Abhi Sivasailam
Data Culture as a Product
Abhi Sivasailam
CEO/Founder
Levers Labs
CEO/Founder, Levers Labs
Andrew Lamb
Building InfluxDB 3.0 with Apache Arrow, DataFusion, Flight and Parquet
Andrew Lamb
Staff Engineer
InfluxData
Staff Engineer, InfluxData
Matthew Rocklin
Spark, Dask, DuckDB, Polars: Benchmarks at Scale
Matthew Rocklin
CEO
Coiled
CEO, Coiled
Aaron Taylor
Enabling Data Centric Solutions through Modern Schema Management
Aaron Taylor
Chief Architect
Nalej
Chief Architect, Nalej
Kirit Basu
The End of Data Governance as We Know It
Kirit Basu
Head of Product
Metaphor
Head of Product, Metaphor
Alex Martin
Events Sourcing with Kafka at Scale
Alex Martin
Head of Product
Tinybird
Head of Product, Tinybird
Micah Wylde
Why Streaming SQL? The Semantics and Challenges of Applying SQL to Unbounded Data
Micah Wylde
Co-founder & CEO
Arroyo Sytems
Co-founder & CEO, Arroyo Sytems
Deepyaman Datta
Unified Stream/Batch Execution with Ibis
Deepyaman Datta
Senior Staff Software Engineer
Voltron Data
Senior Staff Software Engineer, Voltron Data
Tyler Dunn
How to Use Your Development Data to Make LLMs Code Like You and Your Team
Tyler Dunn
Co-founder & CEO
Continue
Co-founder & CEO, Continue
Eric Hansander
Bridging the Gap Between Batch and Real-Time with Mixed-Latency Pipelines
Eric Hansander
Co-founder & CEO
Twirl
Co-founder & CEO, Twirl
Elijah Ben Izzy
Move Fast and Don't Break Things -- how to build a data platform that scales with your organization
Elijah Ben Izzy
CTO/Co-founder
DAGWorks Inc.
CTO/Co-founder, DAGWorks Inc.
Ashwin Ramesh
Fast ReActions: Planning and Reasoning Quickly with LLMs
Ashwin Ramesh
Machine Learning Engineer
Continual
Machine Learning Engineer, Continual
Slater Stich
Give Rust a Chance
Slater Stich
Partner
Bain Capital
Partner, Bain Capital
Adam Cimarosti
Optimizing Time Series Data in Mixed Architectures with QuestDB
Adam Cimarosti
Senior Software Engineer
QuestDB
Senior Software Engineer, QuestDB
Tobias Lunt
Data for impact: levering LLMs for nonprofit social research
Tobias Lunt
Co-Founder & Chief Data Scientist
Development Data Lab
Co-Founder & Chief Data Scientist, Development Data Lab
Andrew Dworschak
How to create a purpose-built data indexer
Andrew Dworschak
CEO/Co-Founder
Yakoa
CEO/Co-Founder, Yakoa
Caitlin Hudon
WTF Are We Doing?
Caitlin Hudon
Data Scientist
Figma
Data Scientist , Figma
Marck Vaisman
What Makes for an Effective Data Practitioner in 2024?
Marck Vaisman
Senior Technical Specialist
Microsoft
Senior Technical Specialist, Microsoft
Harel Shein
Data Lineage Panel: We’ve Come a Long Way
Harel Shein
Engineering Manager, Data Lineage
Datadog
Engineering Manager, Data Lineage, Datadog
Ernie Ostic
Data Lineage Panel: We’ve Come a Long Way
Ernie Ostic
Chief Evangelist
Manta (an IBM company)
Chief Evangelist, Manta (an IBM company)
Sheeri Cabral
Data Lineage Panel: We’ve Come a Long Way
Sheeri Cabral
Product Manager
Collibra
Product Manager, Collibra
Hope Wang
Tackling I/O Challenges in Modern Data Lakes
Hope Wang
Developer Advocate
Alluxio
Developer Advocate, Alluxio
C.J. Jameson
Empowering Data Teams: A Step-by-Step Playbook for Leads and Managers
C.J. Jameson
Engineering Manager
Monte Carlo
Engineering Manager, Monte Carlo
Tim Castillo
Rising Tides with Radical Transparency: Why and How to Open Source Your Data Platform
Tim Castillo
Data Engineer / Developer Advocate
Dagster Labs
Data Engineer / Developer Advocate, Dagster Labs
Joe Karlsson
How to Build a Data Stack that Your Company Actually Uses
Joe Karlsson
Data Engineer
Tinybird
Data Engineer, Tinybird
Amber Roberts
Prepare for (Better) Extraction
Amber Roberts
ML Engineer & Community Leader
Arize AI
ML Engineer & Community Leader, Arize AI
Ryan Worl
Beyond Kafka: Cutting Costs and Complexity with WarpStream and S3
Ryan Worl
Co-founder & CTO
WarpStream
Co-founder & CTO, WarpStream
David Margulies
Let's Play: Flappybird (+ some Data Engineering)
David Margulies
Sales Engineer
Tinybird
Sales Engineer, Tinybird
Alex Wood-Doughty
Building a User-Level Targeting Platform
Alex Wood-Doughty
Data Science Engineer
Monocle
Data Science Engineer, Monocle
Kord Campbell
Shredding and Embedding PDFs for Fun and Profit
Kord Campbell
Founder & Developer
Mitta AI
Founder & Developer, Mitta AI
Emilio Tamez
Startup Scale with Enterprise Serviceability: How Beam Leverages Dashboards-as-Code to Scale Our Analytics Product with a Small Team
Emilio Tamez
Director of Data & Analytics
Beam
Director of Data & Analytics, Beam
Zoe Steinkamp
A 101 in Time Series Analytics with Apache Arrow, Pandas and Parquet
Zoe Steinkamp
Developer Advocate
InfluxData
Developer Advocate, InfluxData
Celina Wong
Data Culture 2.0: Leveraging AI to Build Human Connections and Expand Your Influence
Celina Wong
CEO
Data Culture
CEO, Data Culture
Tony Kau
Build Faster, More Responsive Analytics with a Semantic Layer
Tony Kau
Partner Solutions Architect
Cube
Partner Solutions Architect, Cube
Samantha Lohier
Data Culture 2.0: Leveraging AI to Build Human Connections and Expand Your Influence
Samantha Lohier
Senior Analytics Engineer
Data Culture
Senior Analytics Engineer, Data Culture
Paco Valdez
Build Faster, More Responsive Analytics with a Semantic Layer
Paco Valdez
Solutions Architect
Cube
Solutions Architect, Cube
Ryan Dolley
Analytics with Arrow Flight, DuckDB, Semantic Models and LLM
Ryan Dolley
VP of Product Strategy
GoodData
VP of Product Strategy, GoodData
Jan Soubusta
Analytics with Arrow Flight, DuckDB, Semantic Models and LLM
Jan Soubusta
Distinguished Engineer
GoodData
Distinguished Engineer, GoodData
Timothy Chan
Beyond Simple A/B Testing: Advanced Experimentation Tactics
Timothy Chan
Lead Data Scientist
Statsig
Lead Data Scientist, Statsig
Brenna Buuck
Redefining Database Workloads: The Future with Modern Object Storage
Brenna Buuck
Subject Matter Expert: Databases & Datalakes
MinIO
Subject Matter Expert: Databases & Datalakes, MinIO
Noelle Saldana
How to Align AI Capabilities with Product Strategy so You Can Innovate
Noelle Saldana
Director of Product Management, Data Science & Analytics
Director of Product Management, Data Science & Analytics,
more speakers to be announced soon ...
View all
Join your tribe. Our attendees are founders, data scientists, lead engineers, CTOs, Heads of Data, investors and community organizers building the future of data.
Introducing
AI LAUNCHPAD
Shape Group

Join us for a unique session dedicated to early-stage AI startups in partnership with
Zero Prime Ventures. We're hand selecting 6 companies to present their innovative products, showcasing their vision for the future of data & AI during a special portion of the event.


Deadline to Apply is March 8th

 

Meet Your Hosts
Our expert track hosts hand-select the best talks each year from hundreds of community submissions, ensuring that our content resonates with the interests and needs of real-world data practitioners like you.
Sean Anderson
Sean Anderson
Head of Product Marketing
Vectara
Tristan Zajonc
Tristan Zajonc
CEO & Co-Founder
Continual
Daniel Francisco
Daniel Francisco
Director of Product
Meta
Sean Taylor
Sean Taylor
Chief Scientist
Motif Analytics
Maggie Hays
Maggie Hays
Founding Community Product Manager of DataHub
Acryl Data
Scott Truitt
Scott Truitt
VP of Product Management
Collibra
Scott Breitenother
Scott Breitenother
Founder & CEO
Brooklyn Data
Eric Sammer
Eric Sammer
Founder & CEO
Decodable
Carlos Aguilar
Carlos Aguilar
Founder
Hashboard (formerly Glean)
About Our Tracks
100+ speakers give you the lowdown on the most cutting edge data technologies
🗓️ Past Event Schedule
01 Data Eng & Infrastructure
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.
02 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.
03 MLOps & 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.
04 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.
05 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.
06 Applied Generative 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.
07 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.
08 Data Culture & Community
Data Culture & Community is a place for Data Leaders and Community Managers to share stories and insights on how they have built vibrant, cross-functional, and collaborative spaces for data practitioners, developers, and beyond. Whether you are building a data team from scratch, establishing a strong data culture within your organization or rallying a global network of developers around your software, you’ll have plenty to learn from our speakers who have done it all.
09 Lightning Talks
The Lightning Talks track is composed of 15min, bite-size sessions from various startups sharing lessons learned & best practices of their fast-growing companies. You can learn about new tools & approaches that startups use, cutting-edge open source projects, and data teams' lessons learned from supporting their company growth.
10 Workshops
This two-day track is dedicated 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.

We 💙 teams (bring your squad)

09-Data Council-Austin-3

Austin's amazing food, music and sights are the perfect backdrop for a team offsite. And to sweeten the deal:


Bringing 5+? Contact us at community@datacouncil.ai for exclusive group discounts.

Book Your Stay

AC Hotel

Rack up those Bonvoy points while enjoying a scenic 5-minute walk through U of T campus to the venue.

Enjoy our discounted rooms at
 AC Marriott Hotel 

*Deadline to book with our discount is March 1st, so don't wait! 

Our Conference Committee

Pete-1
Pete Soderling

Pete founded Data Council and has been bringing the data community together for more than 10 years. He's also the founder of Zero Prime Ventures, a first check fund backing Day 0 engineer founders. A serial founder, former engineer, community builder and angel investor, his goal is to help 10,000 engineers build startups through specialized networks that provide inspiration, knowledge and support.

 
Roger Magoulas
Roger Magoulas

Roger has been building data analytics teams and platforms since the mid-90s. At O’Reilly, Roger built the data infrastructure as well as the team that identified technology adoption trends. He also served as co-chair of the O’Reilly Strata conference. More recently Roger helped build out the data team at Astronomer and is currently consulting and producing a podcast.


Asset 43@2x
A big thank you to our 2024 partners & sponsors who help Data Council remain the world’s largest independent full-stack data conference.
CloudQuery
Cube-2
GoodData
Tinybird
WarpStream
Continual
Monte Carlo
Onehouse
Prospective
Rudderstack
Satori
Founder & Chair
pete
Pete Soderling is the founder of Data Council and Zero Prime Ventures. 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.

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Become a Sponsor
We're grateful to our partners for allowing Data Council to remain the largest independent data conference. Reach out to learn more.

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Future engineer-founder?
Our own Zero Prime Ventures can write your first check. We know what it takes to build companies from 0 1 and can connect you with support and insight from the community. 

Our No Bullsh*t Guarantee

We truly believe in authentic and deeply technical community events and we want you to enjoy them as much as we do.

We are happy to offer a full refund of your ticket purchase 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 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!