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Data Engineering - Blog category

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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Boost Your Data Quality with Effective Governance

Every year businesses lose millions of dollars just because they failed to properly ensure data quality. As a result, they make decisions based on outdated, incomplete, or just plain inaccurate information – and all that comes at a cost.  Long before the financial damage starts to show up, companies face a lack of clarity about their customers’ image and a...

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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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