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Blog about Data Engineering - Page 2

This blog category explores the foundational role of data engineering in modern data ecosystems, covering topics like pipeline design, data integration, and infrastructure that support reliable, scalable analytics and machine learning.

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How Big Data Analytics Is Transforming Healthcare

In today’s healthcare landscape, data is generated at an unprecedented scale. From patient records to real-time sensor data, the sheer volume of information now available is reshaping how care is delivered, managed, and improved. At the heart of this shift are powerful tools like big data and AI, which enable healthcare providers to make faster, smarter, and more personalized decisions....

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Big Data Processing: Methods, Tools & Strategies

In 2025, combining AI and big data development will not be an optional novelty – they will be essential for just about every industry you can think of. According to Statista, the automotive, aerospace, and telecommunications industries have already reached 100% adoption.  Other sectors are not far behind: IT and insurance – 97%, financial services – 95%, and healthcare –...

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Building a Scalable Data Warehouse Step-by-Step

A data warehouse is the central hub where a business stores and organizes data, making it easier to analyze trends and generate insights to improve business strategies. Companies are already reaping the benefits of creating a data warehouse, and the investment figures are steadily growing: from USD 13 billion in 2018 to USD 33.7 billion in 2024. But if building...

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