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© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
What Is DataOps?
DataOps encourages improvement and innovation by introducing the concepts
of agile development into the world of data analytics, so data teams and the
users who work with data can collaborate effectively to create a smooth, hassle-
free data pipeline.
Deploying DataOps improves the speed and accuracy of data analytics across a
company – including data quality, access to data, automation, integration, and
development and deployment of data products and applications.
DataOps practitioners, who can come from a number of different departments,
engage with teams of data scientists, analysts, engineers, and developers to
create cross-functional collaboration and increase the pace of their data-driven
deployments and initiatives.

© 2020 Bernard Marr, Bernard Marr & Co. All rights reserved
What Is DataOps?
DataOps encourages improvement and innovation by introducing the concepts
of agile development into the world of data analytics, so data teams and the
users who work with data can collaborate effectively to create a smooth, hassle-
free data pipeline.
Deploying DataOps improves the speed and accuracy of data analytics across a
company – including data quality, access to data, automation, integration, and
development and deployment of data products and applications.
DataOps practitioners, who can come from a number of different departments,
engage with teams of data scientists, analysts, engineers, and developers to
create cross-functional collaboration and increase the pace of their data-driven
deployments and initiatives.

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