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Fundamentals of Data Engineering

Xebia

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.

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Perspectives in Leadership: The data engineering leaders need to prioritize

Gitprime

Senior Software Engineer Kristen Foster-Marks discusses how the right type of data can make a huge difference in productivity, team health, and retaining top talent.

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Survey: Execs eager to implement generative AI, but few know how

CIO

“It forces conversations like ‘what kind of data stores do we have,’ and ‘what can we really do with them?’” In terms of the workforce required, Lukic said companies should be looking to hire data managers, data engineers, and legal and risk management staff with specific knowledge of generative AI, though this can be easier said than done.

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Top 8 IT certifications in demand today

CIO

Certified Agile Leadership (CAL) The Certified Agile Leadership (CAL) certification is offered by ScrumAlliance and includes three certification modules, including CAL Essentials, CAL for Teams, and CAL for Organizations. Microsoft also offers certifications focused on fundamentals, specific job roles, or specialty use cases.

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Henkel embraces gen AI as enabler and strategic disruptor

CIO

But to achieve Henkel’s digital vision, Nilles would need to attract data scientists, data engineers, and AI experts to an industry they might not otherwise have their eye on. Artificial Intelligence, Chief Digital Officer, CIO Leadership Live, Digital Transformation, ICT Partners, Innovation, IT Leadership, SAP

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The Right Stuff: The Role of MLOps in AI Success

CIO

Interestingly, many companies do just that, creating a disconnect between data science teams and IT/DevOps when it comes to AI development. Data scientists would really love to just build models and do real core data science. Artificial Intelligence, IT Leadership

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How FiveStars re-engineered its data engineering stack

CIO

It shows in his reluctance to run his own servers but it’s perhaps most obvious in his attitude to data engineering, where he’s nearing the end of a five-year journey to automate or outsource much of the mundane maintenance work and focus internal resources on data analysis. It’s not a good use of our time either.”