On Wednesday, January 25, 2023, over 2,000 data professionals—data engineers, DataOps and FinOps teams, data scientists and analysts, team leaders, C-level executives—gathered together virtually for the Data Teams Summit (formerly, DataOps Unleashed).
With 20+ roundtable panel discussions, practitioner case studies, thought-leadership sessions, and best-practices deep dives, we had all the bases covered.
It takes a village to deliver reliable data products on time, every time, cost-effectively. That’s what Data Teams Summit 2023 is all about.
Session recordings are available in two places:
1. See below for most Main Stage sessions.
2. For breakout sessions, visit the Data Teams Summit website.
Unravel CEO and Co-founder Kunal Agarwal kicks things off by taking a look back at the strides DataOps made in 2022, top challenges that data teams are still grappling with, and what’s ahead in 2023—especially the rapidly evolving practice of FinOps for data teams.
Unravel CEO and Co-founder Kunal Agarwal kicks things off by taking a look back at the strides DataOps made in 2022, top challenges that data teams are still grappling with, and what’s ahead in 2023—especially the rapidly evolving practice of FinOps for data teams.
Great data outcomes depend on successful data teams. Every single day, data teams deal with hundreds of different problems arising from the volume, velocity, variety—and complexity—of the modern data stack.
Learn best practices and winning strategies for what works (and what doesn’t) to help data teams tackle the top day-to-day challenges and unleash innovation.
Great data outcomes depend on successful data teams. Every single day, data teams deal with hundreds of different problems arising from the volume, velocity, variety—and complexity—of the modern data stack.
Learn best practices and winning strategies for what works (and what doesn’t) to help data teams tackle the top day-to-day challenges and unleash innovation.
As DataOps moves along the maturity curve, many organizations are deciphering how to best balance the success of running critical jobs with optimized time and cost governance.
In this fireside chat, Mark Sear, head of data platform optimization for Maersk shares how his team is driving towards enabling strong engineering practices, design tenets, and culture, at one of the largest shipping and logistics companies in the world.
As DataOps moves along the maturity curve, many organizations are deciphering how to best balance the success of running critical jobs with optimized time and cost governance.
In this fireside chat, Mark Sear, head of data platform optimization for Maersk shares how his team is driving towards enabling strong engineering practices, design tenets, and culture, at one of the largest shipping and logistics companies in the world.
As organizations run more data applications and pipelines in the cloud, they look for ways to avoid the hidden costs of cloud adoption and migration. Teams seek to maximize business results through cost visibility, forecast accuracy, and financial predictability.
See how organizations apply agile and lean principles using the FinOps framework to boost efficiency, productivity, and innovation.
As organizations run more data applications and pipelines in the cloud, they look for ways to avoid the hidden costs of cloud adoption and migration. Teams seek to maximize business results through cost visibility, forecast accuracy, and financial predictability.
See how organizations apply agile and lean principles using the FinOps framework to boost efficiency, productivity, and innovation.
Today’s technology ecosystems are varied and complex, whether found on-premise, public cloud, or a combination of all (multi-cloud) there is a need for continuous 24/7 synthesis of the environment.
Charles will explore the various components of a healthcare-centric data ecosystem and how situational awareness in the clinical environment has been transferred to the technical realm to ensure maximum uptime and efficiency.
Today’s technology ecosystems are varied and complex, whether found on-premise, public cloud, or a combination of all (multi-cloud) there is a need for continuous 24/7 synthesis of the environment.
Charles will explore the various components of a healthcare-centric data ecosystem and how situational awareness in the clinical environment has been transferred to the technical realm to ensure maximum uptime and efficiency.
