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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

The data architect also “provides a standard common business vocabulary, expresses strategic requirements, outlines high-level integrated designs to meet those requirements, and aligns with enterprise strategy and related business architecture,” according to DAMA International’s Data Management Body of Knowledge.

Data 199
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The 10 highest-paying industries for IT talent

CIO

Here are the 10 industries with the highest tech salaries, and how much they’ve increased in value since 2021, according to the 2023 Dice Tech Salary Report. Consulting firms are increasingly turning to tech talent to help build in-house platforms, according to the report from Dice. Average salary: US$131,995 Increase since 2021: 0% 2.

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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.

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Who is ETL Developer: Role Description, Process Breakdown, Responsibilities, and Skills

Altexsoft

Data obsession is all the rage today, as all businesses struggle to get data. But, unlike oil, data itself costs nothing, unless you can make sense of it. Dedicated fields of knowledge like data engineering and data science became the gold miners bringing new methods to collect, process, and store data.

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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.

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Mind the Gap: 3 Ways to Fill Your Data Management Talent Shortage

TIBCO - Connected Intelligence

Further, these challenges are growing exponentially as massive data trends, such as the ten I identified in a recent blog , combine to make data management more complex and difficult than ever. In fact, data engineering staffing savings of 40 percent are typical. Your business staff can add value in a number of ways.

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