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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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Is Modern Data Warehouse Architecture Broken? 

Monte Carlo

One camp is mad at me because they think this is nothing new and it requires long manual processes and data architects with 30 years of experience. The other camp is mad at me because their modern data stack is fundamentally not set up this way and it isn’t how they have been building out their data products,” said Chad.

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AWS Solutions Architect Job Opportunities in 2024 [Career Options]

Knowledge Hut

An Amazon Web Services (AWS) Solution Architect designs and deploys scalable, reliable, and secure applications on AWS. Through collaboration, we provide cloud-based solutions based on AWS services like EC2, S3, and RDS and perform architecture design, performance optimization, and cost efficiency analysis.

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

Knowledge Hut

Salary (Average ) $136,264 / year (Source: Wellfound) Top Companies Hiring Microsoft, Amazon, Accenture Certifications Microsoft Certified: Azure Data Engineer Associate Job Role 2: Azure Data Architect Azure Data Architects design and implement end-to-end data solutions on the Microsoft Azure platform.

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Enabling Data Mesh Principles for Organizational Agility

Snowflake

With demonstrable success across a range of industries, organizations are increasingly pursuing cutting-edge data mesh architectures to enhance self-service data use. How, then, are modern data teams finding success with the data mesh? Still, implementing this new architecture was not without its challenges.

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Telecom Network Analytics: Transformation, Innovation, Automation

Cloudera

Reductions in the cost of compute and storage, with efficient appliance based architectures, presented options for understanding more deeply what was actually happening on the network historically, as the first phase of telecom network analytics took shape. The Explosion in Telco Big Data: 2012-2017.