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.
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.
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.
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.
A brand-new track at Data Council this year, 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.
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.
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.
When: March 28th - 30th, 2023
Time: 8am - 5pm (each day)
Where: AT&T Hotel & Conference Center
🥳 Data Community Party
When: March 28th @ 5:30pm - 7:30pm
(for attendees only)
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Plus, when you buy 3 tickets, we'll add a 4th from us :)
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