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

CIO

Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence. Data architect vs. data engineer The data architect and data engineer roles are closely related.

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

Altexsoft

Data architecture is the organization and design of how data is collected, transformed, integrated, stored, and used by a company. What is the main difference between a data architect and a data engineer? By the way, we have a video dedicated to the data engineering working principles.

Data 87
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Percona Live 2023 Event Recap

Datavail

Percona Live 2023 was an exciting open-source database event that brought together industry experts, database administrators, data engineers, and IT leadership. Keynotes, breakout sessions, workshops, and panel discussions kept the database conversations going throughout the event.

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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. in order to ensure successful transitions from DBA roles into data engineering roles.

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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. The shift to cloud native design is transforming both software architecture and infrastructure and operations. Still cloud-y, but with a possibility of migration.

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

Altexsoft

A data architect focuses on building a robust infrastructure so that data brings business value. Data modeling: creating useful and meaningful data entities. Data models translate business rules defined in policies into an actionable technical data system, Source: Global Data Strategy.

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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.