Large-Scale Data Engineering

Handling vast amounts of data requires specialized systems and tools to efficiently process, store, and manage the information. This involves building scalable infrastructure, ensuring data integrity, and optimizing performance for tasks like ETL (extract, transform, load), data warehousing, and real-time analytics. The goal is to handle massive data flows across distributed systems while maintaining speed and accuracy.

 

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