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Data Engineering
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How to efficiently read the data lake files' metadata?

Contributor II

I want to read the last modified datetime of the files in data lake in a databricks script. If I could read it efficiently as a column when reading data from data lake, it would be perfect.

Thank you:)


New Contributor II

Efficiently reading data lake files involves:

  1. Choosing the Right Tools: Select tools optimized for data lake file formats (e.g., Parquet, ORC) and distributed computing frameworks (e.g., Apache Spark, Apache Flink).

  2. Partitioning and Indexing: Partition data logically and create indexes to minimize data scanning.

  3. Optimizing Queries: Write queries that leverage predicate pushdown, column pruning, and other optimizations provided by the data lake engine.

  4. Parallel Processing: Utilize parallel processing to distribute workload across multiple nodes or cores, improving read performance.

  5. Caching and Materialization: Cache frequently accessed data or precompute aggregates to reduce read times for subsequent queries.

Krunal Medapara,



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