This ebook compares traditional, code-based data transformation with modern, automated data preparation. It explains the four steps of data preparation—discover, design, apply, and validate—and highlights how manual coding introduces delays, errors, and scalability issues. The guide shows how automated, visual data preparation allows these steps to occur simultaneously, improving speed and accuracy. Key benefits include reduced manual effort, better data quality, improved governance, and faster time to insight. The ebook advocates replacing brittle, one-off scripts with reusable, enterprise-ready analytics workflows.

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