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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. Those working in IT management, including the roles of CIO, CTO, VP, and IT Director, hold high-level positions that oversee an entire company’s technology infrastructure. increase from 2021.

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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. This role is vital for improving and maintaining IT and cloud infrastructure, ultimately boosting productivity in the business. The 10 most in-demand tech jobs for 2023.

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The 10 most in-demand IT jobs in finance

CIO

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. DevOps engineer. Data engineer.

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The 10 most in-demand IT jobs in finance

CIO

Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. DevOps engineer. Data engineer.

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DataOps Uncovered: A Bold New Approach to Telemetry and Network Visibility

Kentik

DataOps is a methodology that aims to streamline and automate managing and delivering data throughout its lifecycle, from ingestion to analysis and visualization. It is an extension of DevOps principles and practices to data management, enabling organizations to manage and automate data pipelines for quality, accuracy, and reliability.

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What is Machine Learning Engineer: Responsibilities, Skills, and Value Brought

Altexsoft

MLEs are usually a part of a data science team which includes data engineers , data architects, data and business analysts, and data scientists. Who does what in a data science team. Machine learning engineers are relatively new to data-driven companies. Key components of an MLOps cycle.