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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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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. Train up Building high performing teams starts with training, Menekli says. “We

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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

The results for data-related topics are both predictable and—there’s no other way to put it—confusing. Starting with data engineering, the backbone of all data work (the category includes titles covering data management, i.e., relational databases, Spark, Hadoop, SQL, NoSQL, etc.).

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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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Data Summit 2023 Event Recap

Datavail

Datavail was proud to be a part of this event as a platinum sponsor, and our team presented on the changing role of database administrators, the power of cloud analytics, and picking the right database for your use case. Additionally, emerging data types and modern applications drive enterprises to adopt new data platforms.

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

Altexsoft

Well-designed data management processes can yield big benefits for your business — such as follows. If properly organized, data management minimizes data movement, helps uncover performance breakdowns, and enables users to have all the necessary information a click away. Data security: preventing data breaches.