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10 most in-demand enterprise IT skills

CIO

Central to cloud strategies across nearly every industry, AWS skills are in high demand as organizations look to make the most of the platforms wide range of offerings. Oracle skills are common for database administrators, database developers, cloud architects, business intelligence analysts, data engineers, supply chain analysts, and more.

UI/UX 203
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What is a data engineer? An analytics role in high demand

CIO

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

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Sigmoid raises $12 million to scale its data engineering and analytics platform

TechCrunch

As long-term partners, we are excited to double down on their goal to be the premier engineered data solutions and AI provider for accelerating digital transformation for enterprises across industries,” said Anandamoy Roychowdhary, principal, Sequoia Southeast Asia, in a prepared statement.

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

CIO

A great example of this is the semiconductor industry. They dont just react to change; they engineer it. But were still in the early days of figuring out what it really means for our industry. Mike Vaughan serves as Chief Data Officer for Brown & Brown Insurance. They ask: Where do we need to be in five or 10 years?

Company 186
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AI data readiness: C-suite fantasy, big IT problem

CIO

The legacy problem Legacy systems that collect and store limited data are part of the problem, says Rupert Brown, CTO and founder of Evidology Systems, a compliance solutions provider. Data quality is a problem that is going to limit the usefulness of AI technologies for the foreseeable future, Brown adds.

Data 201