About DataOps Summit
The DataOps Summit is a conference for data technology leaders and professionals, hosted by StreamSets. It puts you at the center of DataOps action.
Your mission is to conduct that chaos
Data is a concise word for a tremendous amount of information. Once, it was manageable. Today, with data scattered everywhere — even in systems you don’t control — data often veers toward the realm of chaos.
As a data professional, your mission is to conduct that chaos. The summit shows you how, with keynotes, breakout sessions, and hands-on training built around the practices that keep data platforms reliable as they grow.
Get behind-the-scenes insight from data-savvy organizations.
Across its program, the summit shares how organizations actually run their data platforms: real architectures, real trade-offs, and real lessons from practitioners. Sessions have covered digital transformation in healthcare, big data processing at Goldman Sachs, and real-time data feedback loops in marketing.
Speakers have included representatives of Humana, MIT, Goldman Sachs, Snowflake, and RudderStack.
Three days built for data practitioners
Training, keynotes, and breakout sessions — the format has moved from virtual in 2021 to in-person in the San Francisco Bay Area in 2022.
Keynotes
Opening perspectives on where data operations are heading and how leading organizations keep their platforms healthy.
Breakout sessions
Deep dives on practical topics, including data lake ingestion, schema-first versus data-first design, and healthcare data transformation.
Hands-on training
Training sessions that put the tools and practices of DataOps to work, available as part of the summit experience.
Two editions of the DataOps Summit
| Edition | Dates | Format | Location |
|---|---|---|---|
| DataOps Summit 2021 | September 28–30, 2021 | Virtual, with training and two days of content | Online |
| DataOps Summit 2022 | August 30–31, 2022 | In-person, with registration, keynotes, breakout sessions, an expo hall and a Hackathon | San Mateo Event Center, San Francisco Bay Area |
Browse the agenda for details · Read a featured session
The DataOps Summit is a gathering for data technology leaders and professionals, hosted by StreamSets. Its purpose is simple: to place attendees at the center of DataOps action, where data pipeline design, integration, and governance are discussed openly. The event brings together engineers, architects, and practitioners who spend their working lives turning scattered, streaming information into something an organization can act on. Rather than a trade show floor of vendor claims, the summit is structured around shared practice, real-world patterns, and conversations that continue long after the sessions end.
The premise behind the summit is that data has become unmanageable. Once, information lived in a handful of tidy places; today it is dispersed across systems that teams do not even control, moving in streams that resist traditional batch thinking. For a data professional, the mission becomes one of order: making chaos legible, connecting pipelines to the platforms where insights are actually used, and building architectures that scale with the business instead of against it. That tension is the reason the summit exists.
Attendees come to gain perspective on practices that span the full range of modern data work — from design and transformation of pipelines to advanced techniques, platform integration, and the organizational habits that make teams effective. The program mixes keynotes, breakout sessions, hands-on labs, classes, and hackathon-style collaboration, with tracks calibrated to different skill levels. Whether you are new to the discipline or seasoned in it, the format is designed so that useful, concrete takeaways travel home with you.
The summit also functions as a community center. Data professionals are passionate people who spend daily life wrestling with stream processing, pipeline reliability, and the difference between a working demo and a production-ready system. Creating space for these people to share what has worked, what has failed, and what they would do differently is central to the experience. Conversations about career growth, team structure, and technical advocacy sit alongside the deeper engineering topics, reflecting the reality that data work is rarely purely technical.
Registration and agenda details are published through the summit site, along with information on speakers, sponsors, expo hall offerings, and related training. Past editions have been held virtually and in the San Francisco Bay Area, and the event continues to evolve with the field — reflecting how quickly data architectures, cloud platforms, and developer expectations shift. For anyone who cares about pipelines, insights, and the daily impact of data on an organization, the summit offers a chance to learn, to be inspired, and to celebrate the craft with peers.
Join the room where data professionals think out loud
Registration is required for attendance, training tickets are available, and a code of conduct applies to all attendees.