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© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
What Is DataOps?
DataOps is an agile operations methodology that improves a company’s use of
data through better tools, automation, and collaboration.
The primary purpose of DataOps is to align data management tools and
processes with data goals, and improve communication and integration
between data managers and the end-users who consume data.
In a nutshell, DataOps borrows the principles of DevOps – an approach to more
agile and collaborative software development to speed up build lifecycles – and
applies those principles and processes to data analytics.

© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
What Is DataOps?
DataOps is an agile operations methodology that improves a company’s use of
data through better tools, automation, and collaboration.
The primary purpose of DataOps is to align data management tools and
processes with data goals, and improve communication and integration
between data managers and the end-users who consume data.
In a nutshell, DataOps borrows the principles of DevOps – an approach to more
agile and collaborative software development to speed up build lifecycles – and
applies those principles and processes to data analytics.

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