Explain large-scale data handling strategies in MATLAB (big data workflows)

MATLAB handles large-scale data using datastores, tall arrays, chunk processing, and out-of-memory computation strategies.

Modern engineering systems often generate datasets too large to fit into memory. MATLAB provides specialized tools for handling such datasets efficiently.

Key strategies include:

Allows incremental reading of large datasets from files without loading everything into memory.

Enable operations on data that exceeds available RAM by processing data in chunks.

Splitting large datasets into manageable blocks.

Access large files without fully loading them.

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