Solving the problem with small files in the Data Lake
This post addresses the common problem of small files in data lakes, which can lead to significant performance degradation and increased costs. It provides an in-depth guide on understanding the issues caused by small files, determining optimal file sizes, and effectively managing file sizes using tools like Apache Spark, AWS Athena, Delta Lake, and Apache Iceberg. The post also covers strategies for tracking file sizes and partitioning tables to optimize data processing and storage efficiency.
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