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Why thinking like a tech company is essential for your business’s survival

CIO

To thrive in todays business environment, companies must align their technological and cultural foundations with their ultimate goals. Aligning your culture, processes and technology strategy ensures you can adapt to a rapidly changing landscape while staying true to your core purpose.

Company 186
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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.” and 5 a.m.,

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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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IT leaders: What’s the gameplan as tech badly outpaces talent?

CIO

Gen AI-related job listings were particularly common in roles such as data scientists and data engineers, and in software development. Were building a department of AI engineering, mostly by bringing in people from data engineering and training them to work with gen AI and AI in general, says Daniel Avancini, Indiciums CDO.

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Data & Analytics Maturity Model Workshop Series

Speaker: Dave Mariani, Co-founder & Chief Technology Officer, AtScale; Bob Kelly, Director of Education and Enablement, AtScale

Workshop video modules include: Breaking down data silos. Integrating data from third-party sources. Developing a data-sharing culture. Combining data integration styles. Translating DevOps principles into your data engineering process. Using data models to create a single source of truth.

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See clearly, spend wisely: The power of data platform observability

Xebia

It must be a joint effort involving everyone who uses the platform, from data engineers and scientists to analysts and business stakeholders. Step 3: Maintain Embedding Cost Efficiency into Your Culture Long-term cost efficiency requires continuous effort, awareness, and collaboration across the organization.

Data 130
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See clearly, spend wisely: The power of data platform observability

Xebia

It must be a joint effort involving everyone who uses the platform, from data engineers and scientists to analysts and business stakeholders. Step 3: Maintain Embedding Cost Efficiency into Your Culture Long-term cost efficiency requires continuous effort, awareness, and collaboration across the organization.

Data 130