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Data Engineering Weekly #118

Data Engineering Weekly

We open the Behind the Scene series for startup founders to write in-depth technical articles, system design, and efficient product usage. You can also submit the Founder's story and article suggestion. But compute needs will likely not change much over time; most analysis is done over recent data. Stay tuned for more.

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The Top Data Analytics and Science Influencers and Content Creators on LinkedIn

Databand.ai

Neelesh regularly shares his advice channels, including as a recent guest on Databand’s MAD Data Podcast , where he spoke about how engineering can deliver better value for data science. Michael is certified in text mining and analytics, SQL, Python, Tableau, and more.

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The Top 25 Data Engineering Influencers and Content Creators on LinkedIn

Databand.ai

1) Joseph Machado Senior Data Engineer at LinkedIn Joseph is an experienced data engineer, holding a Master’s degree in Electrical Engineering from Columbia University and having spent time on the teams at Annalect, Narrativ, and most recently LinkedIn. He is also an AWS Certified Solutions Architect and AWS Certified Big Data expert.

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Full Stack Developer Tools To Master In 2024

Knowledge Hut

With that this article is not about how to become a full stack developer or about any component of full stack development, but to talk about full stack development tools , and different tools full stack developers use for developing applications. GitHub was recently taken over and is now being managed by Microsoft.

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How To Become System Engineer in 2024?

Knowledge Hut

In the following article, we will delve into the prerequisites for entering the field of systems engineering and its current demand, as well as gain a comprehensive understanding of what the role entails. Tips for Success: Research the Company: Familiarize yourself with the company's mission, values, culture, and recent news or projects.

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AWS vs Azure-Who is the big winner in the cloud war?

ProjectPro

Research firm Gartner published a document stating that Amazon Web Services (AWS), Microsoft Azure, Google Cloud Platform, and IBM Cloud are innovative tech giants that provide highly cost-competitive alternatives to conventional on-premises hosting infrastructures. Such tools help in releasing analytics projects faster.

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