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Data Masters University

DataOps

Next-generation data management solutions (learn more about Modern MDM) require a new operational framework in order to deliver maximum value. Today’s top-performing data teams use DataOps strategies to address the speed and scale of enterprise data and accelerate data-driven outcomes for their organizations.

Tamr is a pioneer in DataOps. Dive in to learn about the basic tenets of DataOps, how to start a DataOps strategy and practical advice from leading DataOps practitioners.

 

Stage 1

Get Familiar with DataOps

 

Inspired by the DevOps, DataOps creates an open and iterative process that addresses today’s data challenges and needs. DataOps is an automated, process-oriented methodology, used by analytic and data teams, to improve the quality and time to results of its data reduce the cycle time of data analytics.

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Stage 2

Starting a DataOps Strategy

 

Now that you are familiar with the basic tenants of DataOps, how do you get started? Follow along with this content to learn more about where to start, who to involve, and how to show the organization your progress.

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Stage 3

Strategies & Advice for DataOps Practitioners

 

Hear from data leaders and DataOps practitioners about how to overcome obstacles and maximize the success of your DataOps initiative.

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Featured Authors

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Andy Palmer
Co-Founder & CEO, Tamr

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Ethan Peck
Head of Data and Technical Operations at Tamr

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Nikolaus Bates-Haus
Lead Architect at Tamr

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Chris Bergh
Head Chef and CEO at DataKitchen

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Mark Ramsey
former Chief Data and Analytics Officer at GSK

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Kathleen Maley
former Head of Consumer & Digital Analytics at KeyBank

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Barkha Saxena
Chief Data Officer at Poshmark

Learn about DataOps: the modern strategy for maximizing your investment in next gen MDM.