the-role-of-dataops-in-data-science 
CIO
OCTOBER 13, 2023
Data architect role Data architects are senior visionaries who translate business requirements into technology requirements and define data standards and principles, often in support of data or digital transformations. They often report to data infrastructure and data science leads.
CIO
DECEMBER 19, 2023
After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams. Here’s how.
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Xebia
JANUARY 19, 2023
The following is a review of the book Fundamentals of Data Engineering by Joe Reis and Matt Housley, published by O’Reilly in June of 2022, and some takeaway lessons. This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer.
Trigent
JUNE 20, 2022
Businesses worldwide are realizing the importance of the considerable volume of data they possess and the need to extract value from it and incorporate it into enhancing Customer Experience or simplifying operational processes for improved results. This is where data engineering services providers come into play.
CIO
DECEMBER 22, 2022
What is DataOps? DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise.
O'Reilly Media - Data
JUNE 5, 2018
However, in talking with CEOs looking to implement machine learning in their organizations, there seems to be a common problem in moving machine learning from science to production. Data science bootcamps are great for learning how to build and optimize models, but they don’t teach engineers how to take them to the next step.
Altexsoft
SEPTEMBER 9, 2022
Metadata is basically information that describes other data. It helps us understand the origin, structure, nature, and context of data. If so, you should have used an antique-style catalog that looked like a set of totally identical little drawers where thousands of paper cards were stored in a strict order. What is metadata?
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