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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. Training and development Many companies are growing their own AI talent pools by having employees learn on their own, as they build new projects, or from their peers.

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Data engineers vs. data scientists

O'Reilly Media - Data

The two positions are not interchangeable—and misperceptions of their roles can hurt teams and compromise productivity. It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data.

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The future of data: A 5-pillar approach to modern data management

CIO

By modern, I refer to an engineering-driven methodology that fully capitalizes on automation and software engineering best practices. This approach is repeatable, minimizes dependence on manual controls, harnesses technology and AI for data management and integrates seamlessly into the digital product development process.

Data 167
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Are you ready for MLOps? 🫵

Xebia

Gartner reported that on average only 54% of AI models move from pilot to production: Many AI models developed never even reach production. These days Data Science is not anymore a new domain by any means. So then let me re-iterate: why, still, are teams having troubles launching Machine Learning models into production?

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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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Maintaining conventions in dbt projects with dbt-bouncer

Xebia

Challenges of growing Imagine the following scenario, you have a dbt project and you are successfully delivering valuable data to your business stakeholders. These contributors can be from your team, a different analytics team, or a different engineering team. But what about dbt? Sometimes this is in the README.md

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Data Engineers of Netflix?—?Interview with Pallavi Phadnis

Netflix Tech

Data Engineers of Netflix?—?Interview Interview with Pallavi Phadnis This post is part of our “ Data Engineers of Netflix ” series, where our very own data engineers talk about their journeys to Data Engineering @ Netflix. Pallavi Phadnis is a Senior Software Engineer at Netflix.