About
Reviews
Community
Data Teams Summit
25
Jan
-
25
Jan
2023
When
Virtual
Where

DataOps is a holistic approach to the creation, deployment, monitoring, management, and optimization of data-driven applications. It describes the culture and rules of engagement that allow data teams to deliver and maintain high-quality, on-time data products, often powered by AI and machine learning, in an agile and cost-effective way.

Why Attend

Data Teams Summit

Develop your data team to address challenges and unleash innovation through DataOps.

Grow

Get the opportunity to establish better data predictability, increase data reliability, and create economic efficiencies with their data pipelines

Experience

Attend a lineup of speakers, panels, and sessions to unleash the DataOps for driving data culture change for boosting team productivity and performances.

Be inspired

Learn from Julia King, Elliot Shmukler, and other industry leaders to build data strategy, data governance, and analytics within organizational teams.

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Speakers and Delegates
Industry Experts and Thought Leaders

Kunal Agarwal
Co-founder and CEO
Sanjeev Mohan
Principal
Benjamin Rogojan
Owner and Data Consultant
Julia King
VP, Data & Analytics
Elliot Shmukler
Co-Founder and Chief Executive Officer (CEO)
Stephan Claus
Director of Data Analytics
Andrew Jones
Principal Engineer
Nirmal Budhathoki
Senior Data & Applied Scientist
Ali Khalid
Manager - Enterprise Data & Analytics
Preeti Hemant
Manager, Machine Learning & Data Science
Alejandra Cabrera
Product Manager - Data Quality
Mona Rakibe
Co-Founder and CEO

Sponsors and Exhibitors
Brand, Media and Promotional Partners

Unravel Data

Unravels DataOps observability platform enables your data teams to intelligently optimize, automatically troubleshoot and proactively control costs of data pipelines and applications.

Unravels DataOps observability platform enables your data teams to intelligently optimize, automatically troubleshoot and proactively control costs of data pipelines and applications.

Telmai (YC S21)

Telmai helps data team reduce the time spend on detecting and investigating data quality issues.

Telmai helps data team reduce the time spend on detecting and investigating data quality issues.

Anomalo

Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data. All without writing code, configuring rules, or setting thresholds.

Anomalo is a complete data quality platform that automatically detects and explains issues in your enterprise data. All without writing code, configuring rules, or setting thresholds.

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