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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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10 highest-paying IT jobs

CIO

The demand for specialized skills has boosted salaries in cybersecurity, data, engineering, development, and program management. It’s a role that typically requires at least a bachelor’s degree in information technology, software engineering, computer science, or a related field. increase from 2021.

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Unlocking the Power of AI with a Real-Time Data Strategy

CIO

It’s also used to deploy machine learning models, data streaming platforms, and databases. A cloud-native approach with Kubernetes and containers brings scalability and speed with increased reliability to data and AI the same way it does for microservices. Data and ML model development fundamentally depend on one another.

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Verizon accelerates 5G rollouts with automation platform

CIO

Overall, Network Alpha Factory, which earned Verizon a 2023 US CIO 100 Award for IT innovation and leadership , promises to bring operational costs down for all customers, Singh says.

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The 10 most in-demand IT jobs in finance

CIO

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Data engineer.

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The 10 most in-demand IT jobs in finance

CIO

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Data engineer.

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The 10 most in-demand tech jobs for 2023 — and how to hire for them

CIO

Database developers should have experience with NoSQL databases, Oracle Database, big data infrastructure, and big data engines such as Hadoop. It requires a strong ability for complex project management and to juggle design requirements while ensuring the final product is scalable, maintainable, and efficient.

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