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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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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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ManoMano—Self-Serve Data with Snowflake Data Cloud

Snowflake

. “We had two problems to address — a deterioration in the data quality and performance of our existing data warehouse; and increasing technical debt because there were just too many different tools being used. Data governance issues can then be addressed.

Cloud 52
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Snowflake Advanced Certifications: Level Up to SnowPro Advanced and Show Off Your Snowflake Expertise

Snowflake

To get a sense of the impact SnowPro certifications are making in the cloud services industry, Snowflake surveyed 10,145 SnowPro-certified individuals about the value of their Snowflake certification. Simon Peck, Principal Data Architect, Data Engineers “Certification provides a lot of value.

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AWS Solutions Architect Job Opportunities in 2024 [Career Options]

Knowledge Hut

Did you know that Amazon Web Services (AWS) has a 33% market share in cloud computing? AWS solutions architect career opportunities have grown multiplefold. According to the 2020 Workplace Learning Report by LinkedIn, cloud computing ranked as the second-most crucial hard skill demanded by employers.

AWS 52
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CityFibre Integrates and Scales Its Data Estate to Boost Operational Efficiency and Optimize Its Future Network With Snowflake 

Snowflake

Piyush Shandilya, Data Architect at CityFibre explains how the company uses Snowflake to process and analyze large, integrated data sets at speed, powering future growth and delivering next-gen connectivity. But when it comes to data, the company found that rapid growth can quickly outstrip data infrastructure capabilities.

IT 70
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Simplify Application Development With Hybrid Tables

Snowflake

Hybrid Tables combine transactional and analytical storage, leveraging the same cloud services and query processing layers as standard tables. Hybrid Tables leverage the same cloud services and query processing layers as standard tables to provide a unified experience supporting the rich Snowflake features that you know and love.