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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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Ultimate Guide to Citus Con: An Event for Postgres, 2023 edition

The Citus Data

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. So what’s on the schedule at Citus Con: An Event for Postgres 2023 , exactly?

Azure 85
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The 10 highest-paying industries for IT talent

CIO

It’s an industry that handles critical, private, and sensitive data so there’s a consistent demand for cybersecurity and data professionals. But you’ll also find a high demand for software engineers, data analysts, business analysts, data scientists, systems administrators, and help desk technicians.

Industry 306
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Apiumhub among top IT industry leaders in Code Europe event

Apiumhub

Happy to announce that you may find Apiumhub among top IT industry leaders in Code Europe event. About Code Europe event. Gema is well known for sharing knowledge in various tech events across Europe and also for creating open-source developments. Save the date! She started her own startup (Cubicus) in 2013.

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Apiumhub is delighted to support YOW! LONDON 2022

Apiumhub

At Apiumhub we love to collaborate with events in the tech community. Conferences have joined forces with GOTO , a leading software development conference, to take the experience to the next level, so you do not want to miss this event. Why Most Data Projects Fail and How to Avoid It – Jesse Anderson. This year YOW!

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

Altexsoft

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Who does what in a data science team.

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What is DataOps? Collaborative, cross-functional analytics

CIO

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 325