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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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Foote Partners: bonus disparities reveal tech skills most in demand in Q3

CIO

An average premium of 12% was on offer for PMI Program Management Professional (PgMP), up 20%, and for GIAC Certified Forensics Analyst (GCFA), InfoSys Security Engineering Professional (ISSEP/CISSP), and Okta Certified Developer, all up 9.1% since March.

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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

. “Coming from engineering and machine learning backgrounds, [Heartex’s founding team] knew what value machine learning and AI can bring to the organization,” Malyuk told TechCrunch via email. The labels enable the systems to extrapolate the relationships between the examples (e.g., Heartex’s dashboard.

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Galileo emerges from stealth to streamline AI model development

TechCrunch

A separate Gartner report found that only 53% of projects make it from prototypes to production, presumably due in part to errors — a substantial loss, if one were to total up the spending. Galileo monitors the AI development processes, leveraging statistical algorithms to pinpoint potential points of system failure.

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Forget the Rules, Listen to the Data

Hu's Place - HitachiVantara

Rule-based fraud detection software is being replaced or augmented by machine-learning algorithms that do a better job of recognizing fraud patterns that can be correlated across several data sources. DataOps is required to engineer and prepare the data so that the machine learning algorithms can be efficient and effective.

Data 90
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Should you build or buy generative AI?

CIO

For generative AI, that’s complicated by the many options for refining and customising the services you can buy, and the work required to make a bought or built system into a useful, reliable, and responsible part of your organization’s workflow. As so often happens with new technologies, the question is whether to build or buy.

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New live online training courses

O'Reilly Media - Ideas

Reinforcement Learning: Building Recommender Systems , August 16. Engineering Mentorship , June 24. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Spotlight on Learning From Failure: Hiring Engineers with Jeff Potter , June 25. Advanced Test-Driven Development (TDD) , June 27.

Course 62