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Comparing Hadoop vs. Traditional Databases for Big Data Processing

  Introduction   If you’ve ever worked with data — even just a little — you’ve probably used or at least heard of databases like MySQL, PostgreSQL, or SQL Server. They’re powerful, reliable, and everywhere.   But in the last decade, something big has changed.   We’ve gone from handling gigabytes of data to terabytes and petabytes — fast. And suddenly, those traditional databases that worked so well for years are struggling to keep up.   Enter Hadoop — a name that pops up every time people talk about “Big Data.” But what is it really? How is it different from a regular database? And more importantly — when should you use Hadoop, and when should you stick with a traditional database?   Let’s break it down, the simple way .   Agenda   Why Traditional Databases Still Matter   Where They Start to Struggle   What Makes Hadoop So Different   Real-World Scenarios for Each   Skills You’ll Learn from Working with Hadoop   Whi...