Remove 2022 Remove BI Remove Software Engineering
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Data News — must-read 2022 articles

Christophe Blefari

kitsch moment, from me to you ( credits ) Hey you, this is the last article of the year and it's gonna be about the articles and trends that made 2022 according to me. ANALYTICS ENGINEERING We have to be honest in 2022 Analytics Engineering shaped up the data field and concentrated a lot of data discussions.

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Artificial Intelligence Career 2022

U-Next

Software Engineer: Software Engineers build software products for AI applications. They bring together development tasks like writing code, architects, continuous engineering, etc. A Software Architect has to be an expert in the field of Computer science, information system, software engineering, etc.

Medical 52
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Data News — Week 22.45

Christophe Blefari

2003–2023: A Brief History of Big Data — If in parrallel you need a great description of the last 20 years, Furcy wrote the whole data platforms history from the Google File System in 2003 to the 2022 lake house swarm. It comes probably from the fact that I like to understand how the stuff I'm using is working.

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Rewiring My Career: How I Transitioned from Electrical Engineering to Data Engineering

Towards Data Science

I can also tell you the similarities I found between my engineering degree and what I’m doing now. A brief story of how I switched to data engineering: Years 2020–2022 The year is 2020 and I’m about to finish my PhD. Years 2022–2023 So, I started applying everywhere to anything that even relates to data. So let’s start.

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The Curse of Conway and the Data Space

Towards Data Science

When “software engineering” teams and the “data” teams operate in their own bubbles within their own reporting structures, a kind of tragic comedy ensues where the biggest loser is the business as a whole. Each is still quite nascent but gaining momentum: Data engineering is a discipline of software engineering.

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AI Engineer Career Opportunities and Job Outlook

Knowledge Hut

Artificial Intelligence Technology Landscape An AI engineer develops AI models by combining Deep Learning neural networks and Machine Learning algorithms to utilize business accuracy and make enterprise-wide decisions. AI engineers are well-versed in programming, software engineering, and data science.

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DataOps Teams Get a Seat at the Adult’s Table as Organizations Recognize their Strategic, Proactive Value

Meltano

An ideal data stack today can have upwards of 15 tools in it, including extract and loader tools, transformers, reverse ETL, warehouses, business intelligence (BI) tools, and metrics layers. Looking to the Software Development Team as a Model Software engineering went through this journey over a decade ago.