How do Data Engineers handle large-scale data processing?
The question is about data engineering
Answer:
Data Engineering is carried out with the aid of such distributed computing frameworks as Apache Spark and Hadoop. Such large-scale data processing infrastructures have the potential to process enormous volumes of data in parallel and optimize techniques for data storage and retrieval by partitioning and indexing. Other Engineers also make use of cloud resources, scale up the processing capacity when needed, hence providing voluminous data that is effectively processed within the least possible time.
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