PySpark Pipeline Framework: Configuration-Driven Pipelines for the Python Ecosystem
How pyspark-pipeline-framework brings configuration-driven architecture, lifecycle hooks, and resilience patterns to PySpark
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Fitting 100 Statistical Distributions at Scale: 1000x Memory Reduction with PySpark
How spark-bestfit 3.0 fits distributions across Spark, Ray, and local backends with survival analysis, mixture models, and multivariate support
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Building Production-Ready Spark Pipelines with Configuration-Driven Architecture
How spark-pipeline-framework reached 1.0 with Spark Connect support, streaming, and enterprise features
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Data Optimization for Compacted Partitions: Achieving 77% Storage Reduction
How intelligent data optimization with linear ordering and Z-ordering achieved 77% storage reduction and 90% runtime improvements on petabyte-scale data lakes.
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