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Data engineers vs. data scientists

O'Reilly Media - Data

It’s important to understand the differences between a data engineer and a data scientist. Misunderstanding or not knowing these differences are making teams fail or underperform with big data. I think some of these misconceptions come from the diagrams that are used to describe data scientists and data engineers.

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AWS App Studio introduces a prebuilt solutions catalog and cross-instance Import and Export

AWS Machine Learning - AI

With App Studio, technical professionals such as IT project managers, data engineers, enterprise architects, and solution architects can quickly develop applications tailored to their organizations needswithout requiring deep software development skills. For more information, see Setting up and signing in to App Studio.

AWS 79
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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

The laggard use case was Python-based web development frameworks, which grew by just 3% in usage, year over year. The results for data-related topics are both predictable and—there’s no other way to put it—confusing. In aggregate, data engineering usage declined 8% in 2019. Figure 3 (above).

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The 10 highest-paying industries for IT talent

CIO

There’s a high demand for software engineers, data engineers, business analysts and data scientists, as finance companies move to build in-house tools and services for customers. There’s also a growing need for streaming platform engineers, now that streaming services dominate for TV and movies.

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DTN’s CTO on combining IT systems after a merger

CIO

When you think about what skill sets do you need, it’s a broad spectrum: data engineering, data storage, scientific experience, data science, front-end web development, devops, operational experience, and cloud experience.”.

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RISELab’s AutoPandas hints at automation tech that will change the nature of software development

O'Reilly Media - Ideas

One area I’m particularly interested in is the application of AI and automation technologies in data science, data engineering, and software development. For a typical data scientist, data engineer, or developer, there is an explosion of tools and APIs they now need to work with and “master.”

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How Mixbook used generative AI to offer personalized photo book experiences

AWS Machine Learning - AI

He leads a product-engineering team responsible for transforming Mixbook into a place for heartfelt storytelling. He draws on over a decade of hands-on experience in web development, system design, and data engineering to drive elegant solutions for complex problems. DJ Charles is the CTO at Mixbook.