DataOps:
the future is here to stay
Combining the concepts of Agile, DevOps, and Statistical Process Control, DataOps will bring you practices that will break down the barriers and complications between the areas of development and analytical operations.
What will you see in this content?
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01
Introduction: The importance of data
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02
What is DataOps
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03
How DataOps works
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04
DevOps vs. DataOps
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05
4 advantages of DataOps
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06
7 steps to build a DataOps environment
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07
Security and DataOps
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08
Understanding the MJV way
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09
DataOps + Agile
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DataOps + Design Thinking
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It's about people!
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12
How DataOps got here
Some say that DataOps is just DevOps for data. Others say it is a culture and methodology.
The fact is: a deep dive into Data Science is essential for corporations that want to survive. But if you want to reach another level and achieve significant improvements and the ability to produce robust and adaptable analysis, your deep dive needs to include DataOps.
MJV Technology & Innovation
We are a global innovation and technology consultancy. We provide end-to-end solutions, from ideation to IT implementation, through Data Science and Analytics.
We started our trajectory in the IT area! But we have also changed, we incorporated Design Thinking and Agile into our DNA in order to understand our clients' business in-depth and achieve efficient results.
In this evolution process, we understand that there is no way for a company to be competitive without Data Science and Analytics.
We further enrich our end-to-end solution cycle. Today, we act from a thorough understanding of the client to build future scenarios, developing smarter technologies and operations, guided always, by data.