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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 199
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DBeaver takes $6M seed investment to build on growing popularity

TechCrunch

When DBeaver creator Serge Rider began building an open source database admin tool in 2013, he probably had no idea that 10 years later, it would boast more than 8 million users. CEO Tatiana Krupenya says that it’s an administrative tool that allows anyone to access data from a variety of sources.

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The 10 highest-paying industries for IT talent

CIO

Consulting In the consulting industry, technology has become an important tool for making decisions, designing solutions, improving processes, and providing insights on optimizing business strategy. But you’ll also find demand for quality assurance, DevOps, technical support, and software sales engineers.

Industry 183
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Appian Extends Low-Code Approach to Aggregating Data

DevOps.com

At an online Appian World conference, Appian today unveiled an update to its low-code platform that adds a set of visual tools that enables developers to aggregate data within an application with the help of a database administrator (DBA) or data engineering team.

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

CIO

If we have a particular type of outage, our observability tool can also restart the application.” 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.

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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

It’s also the data source for our annual usage study, which examines the most-used topics and the top search terms. [1]. This combination of usage and search affords a contextual view that encompasses not only the tools, techniques, and technologies that members are actively using, but also the areas they’re gathering information about.