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

AltexSoft

This suggests that today, there are many companies that face the need to make their data easily accessible, cleaned up, and regularly updated. Hiring a well-skilled data architect can be very helpful for that purpose. What is a data architect? Let’s discuss and compare them to avoid misconceptions.

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Details About Data Architect Salary for 2023

Knowledge Hut

Along with the data science roles of a data analyst, data scientist, AI, and ML engineer, business analyst, etc, data architect is also one of the top roles in the data science field. Who is a Data Architect? This increased the data generation and the need for proper data storage requirements.

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Top 10 Azure Data Engineer Job Opportunities in 2024 [Career Options]

Knowledge Hut

Azure Data Engineer Career Demands & Benefits Azure has become one of the most powerful platforms in the industry, where Microsoft offers a variety of data services and analytics tools. As a result, organizations are looking to capitalize on cloud-based data solutions.

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AI’s Impact on Data Engineering Careers

Ascend.io

Shifting Up: The New Data Engineering Skill AI tools now effortlessly perform low-level engineering tasks and enable human engineers to focus on more strategic responsibilities. With AI taking care of the operational tasks, data engineers can focus on the bigger picture. Top Skills for Data Leaders 1.

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AWS Solutions Architect Job Opportunities in 2024 [Career Options]

Knowledge Hut

Cloud Data Architect A cloud data architect designs, builds and manages data solutions on cloud platforms like AWS, Azure, or GCP. They play a crucial role in ensuring data security, scalability, and performance, enabling organizations to leverage their data effectively for informed decision-making.

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Data Engineering Learning Path: A Complete Roadmap

Knowledge Hut

Go for the best courses for Data Engineering and polish your big data engineer skills to take up the following responsibilities: You should have a systematic approach to creating and working on various data architectures necessary for storing, processing, and analyzing large amounts of data.

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Azure Synapse vs Databricks: 2023 Comparison Guide

Knowledge Hut

These platforms provide strong capabilities for data processing, storage, and analytics, enabling companies to fully use their data assets. This cohesive experience promotes productivity and accelerates the development of data solutions.