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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 331
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Data Architect: Role Description, Skills, Certifications and When to Hire

Altexsoft

In the article, we explore the role of a data architect, discuss the responsibilities and required skills, and share what kind of companies may need such a specialist. What is a data architect? What is the main difference between a data architect and a data engineer? Feel free to enjoy it.

Data 87
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5 key areas for tech leaders to watch in 2020

O'Reilly Media - Ideas

This year’s growth in Python usage was buoyed by its increasing popularity among data scientists and machine learning (ML) and artificial intelligence (AI) engineers. Software architecture, infrastructure, and operations are each changing rapidly. Also: infrastructure and operations is trending up, while DevOps is trending down.

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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

Data architecture is a starting point for any data management model. Fitting into wider enterprise architecture, it outlines how data is collected, integrated, transformed, stored, and used. A data architect focuses on building a robust infrastructure so that data brings business value.

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Health Information Management: Concepts, Processes, and Technologies Used

Altexsoft

So, we’ll only touch on its most vital aspects, instruments, and areas of interest — namely, data quality, patient identity, database administration, and compliance with privacy regulations. Modern databases are usually controlled via a database management system (DBMS) that sits between information and apps consuming it.