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Unwrapping the Unconventional: Processing Engine Logger Data with Delta Live Tables and mapInPandas
TL;DR
The article outlines a solution for processing complex, binary data using Delta Live Tables (DLT) and mapInPandas within the Databricks ecosystem. Traditional ETL pipelines struggled with the unique challenges of mixed-format metadata and asynchronous data streams. By leveraging DLT's declarative ETL pipelines and mapInPandas for efficient Python-native transformations, we transformed binary data into structured, analytics-ready tables.