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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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Highest Paying Data Science Jobs in the World

Knowledge Hut

In this blog post, we will look at some of the world's highest paying data science jobs, what they entail, and what skills and experience you need to land them. What is Data Science? Data science also blends expertise from various application domains, such as natural sciences, information technology, and medicine.

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

Knowledge Hut

Education & Skills Required Proficiency in SQL, Python, or other programming languages. Experience with Azure data services like Azure SQL Database, Azure Data Factory, and Azure Databricks. They work together with stakeholders to get business requirements and develop scalable and efficient data architectures.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

Certain roles like Data Scientists require a good knowledge of coding compared to other roles. Data Science also requires applying Machine Learning algorithms, which is why some knowledge of programming languages like Python, SQL, R, Java, or C/C++ is also required. Data Analyst Scientist.

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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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Top 16 Data Science Specializations of 2024 + Tips to Choose

Knowledge Hut

In this role, they would help the Analytics team become ready to leverage both structured and unstructured data in their model creation processes. They construct pipelines to collect and transform data from many sources. One of the primary focuses of a Data Engineer's work is on the Hadoop data lakes.