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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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What is a data architect? Skills, salaries, and how to become a data framework master

CIO

Data security architect: The data security architect works closely with security teams and IT teams to design data security architectures. Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data.

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12 data science certifications that will pay off

CIO

The US Bureau of Labor Statistics (BLS) forecasts employment of data scientists will grow 35% from 2022 to 2032, with about 17,000 openings projected on average each year. According to data from PayScale, $99,842 is the average base salary for a data scientist in 2024. Not finding what you’re looking for?

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Apiumhub is delighted to support YOW! LONDON 2022

Apiumhub

LONDON 2022 , a conference that brings together developers and internationally renowned speakers to thoroughly examine new technologies and industry best practices. Jesse Anderson – Data Engineer, Creative Engineer, and Managing Director of Big Data Institute. This time, we are proud supporters of YOW!

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Technology Trends for 2022

O'Reilly Media - Ideas

A quick look at bigram usage (word pairs) doesn’t really distinguish between “data science,” “data engineering,” “data analysis,” and other terms; the most common word pair with “data” is “data governance,” followed by “data science.” All three are now coming onto the map. So what can we conclude?

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How to Save Time and Money by Testing Spark Locally

Xebia

This post was originally published at 47deg.com on June 21, 2022. Data Engineers were tempted by the pressure of the moment to give up on testing all together. Nevertheless, Data Engineers started to suffer from repetitive work, having to wait for the data to be loaded, or for the output to be validated.

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Improving Query Speed to Make the Most Out of Your Data

Dzone - DevOps

So in this article, I will talk about how I improved overall data processing efficiency by optimizing the choice and usage of data warehouses. Too Much Data on My Plate The choice of data warehouses was never high on my worry list until 2021. In the company's infancy, we didn't have too much data to juggle.

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