How do you read large datasets?

Question

Accepted Answer

Efficiently reading large datasets involves using optimized tools and techniques to handle data processing and storage.

Use distributed computing frameworks like Apache Spark for parallel processing of large datasets.
Leverage data formats like Parquet or ORC that support efficient columnar storage and compression.
Implement data partitioning to read only relevant subsets of data, improving performance.
Utilize streaming data processing with tools like Apache Kafka for real-time data ingestion.
Consider using cloud services like AWS S3 for scalable storage and access to large datasets.

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