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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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Top 12 Data Engineering Project Ideas [With Source Code]

Knowledge Hut

If you're aspiring to be a data engineer and seeking to showcase your skills or gain hands-on experience, you've landed in the right spot. Get ready to delve into fascinating data engineering project concepts and explore a world of exciting data engineering projects in this article.

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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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What is an Enterprise Architect and What Do They Do?

Knowledge Hut

Enterprise architects serve as envoys between various system clusters inside an organization, promoting reason. Ensure Interoperability: EAs ensure that different system components and services can work seamlessly together, promoting interoperability and reducing redundancy.

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Top Data Science Jobs for Freshers You Should Know

Knowledge Hut

The opportunities are endless in this field — you can get a job as an operation analyst, quantitative analyst, IT systems analyst, healthcare data analyst, data analyst consultant, and many more. A Python with Data Science course is a great career investment and will pay off great rewards in the future. Choose data sets.

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Top 16 Data Science Job Roles To Pursue in 2024

Knowledge Hut

According to the World Economic Forum, the amount of data generated per day will reach 463 exabytes (1 exabyte = 10 9 gigabytes) globally by the year 2025. Thus, almost every organization has access to large volumes of rich data and needs “experts” who can generate insights from this rich data.

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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.

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