In today’s data-driven world, organizations generate and process massive volumes of data every day. Traditional file formats such as CSV and Excel were once sufficient for storing and analyzing busin...
Published 5 months ago
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Great article! You've explained a topic that many people encounter in practice but rarely take the time to understand deeply. The way you broke down the problem with traditional row-based formats and then walked through how Parquet solves it — step by step — made it very easy to follow, even for someone who is just getting started with modern data platforms.
The visual comparison between row-based and columnar storage was especially helpful. Connecting it directly to Microsoft Fabric and Lakehouse architecture also made it very relevant and practical.
Keep sharing content like this — it's exactly the kind of knowledge the community needs!