Why You Should Use Apache Iceberg with PySpark

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If you’ve had experience with data lakes, you likely faced significant challenges related to executing updates and deletes. Managing the concurrency between multiple readers and writers, addressing schema evolution in your data, and managing the partitions evolution when data volumes or query patterns change.