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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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Technology Trends for 2025

O'Reilly Media - Ideas

Gartner has generative AI slipping into the trough of disillusionmentand whatever you think of the technologys promise, remember that the disillusionment is a sociological phenomenon, not a technical one, and that it happens because new technologies are overhyped. But OpenAI and Anthropic are demonstrating important paths forward.

Trends 131
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10 most in-demand enterprise IT skills

CIO

And part of that success comes from investing in talented IT pros who have the skills necessary to work with your organizations preferred technology platforms, from the database to the cloud. Job listings: 90,550 Year-over-year increase: 7% Total resumes: 32,773,163 3. As such, Oracle skills are perennially in-demand skill.

UI/UX 203
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Prophecy raises $25M for its low-code data engineering platform

TechCrunch

Prophecy , a low-code platform for data engineering, today announced that it has raised a $25 million Series A round led by Insight Partners. “It will read their old data pipelines and automatically write these new data pipelines for the cloud and cloud technologies.

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What is a data engineer? An analytics role in high demand

CIO

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines that convert raw data into formats usable by data scientists, data-centric applications, and other data consumers.

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What is a data engineer? An analytics role in high demand

CIO

What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. The data engineer role.

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Sigmoid raises $12 million to scale its data engineering and analytics platform

TechCrunch

Nonetheless, it believes that its mix of people, process and technology make it a different entity altogether. “Our focus is very heavily on the engineering data products,” said Anand. Sigmoid sees traditional players including Accenture, Infosys and Cognizant as some of its key competitors in the market.