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

CIO

Big data architect: The big data architect designs and implements data architectures supporting the storage, processing, and analysis of large volumes of data. Data architect vs. data engineer The data architect and data engineer roles are closely related.

Data 331
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The 10 highest-paying industries for IT talent

CIO

There’s a demand for skills such as cybersecurity, cloud, IT project management, UX/UI design, change management, and business analysis. 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.

Industry 306
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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

Data architect and other data science roles compared Data architect vs data engineer Data engineer is an IT specialist that develops, tests, and maintains data pipelines to bring together data from various sources and make it available for data scientists and other specialists.

Data 87
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CIOs take note: Platform engineering teams are the future core of IT orgs

CIO

The core roles in a platform engineering team range from infrastructure engineers, software developers, and DevOps tool engineers, to database administrators, quality assurance, API and security engineers, and product architects. Position teams to take advantage of AI.

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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

Along with R , Python is one of the most-used languages for data analysis. there’s a Python library for virtually anything a developer or data scientist might need to do. In the generic software architecture topic, usage in the containers topic increased in our 2019 analysis, growing by 17%.

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Implementing a Data Management Strategy: Key Processes, Main Platforms, and Best Practices

Altexsoft

Data models translate business rules defined in policies into an actionable technical data system, Source: Global Data Strategy. Database administration: maintaining data availability. Specialist responsible for the area: database administrator. Data security: preventing data breaches.