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How to Efficiently Read Excel Files in PySpark WorkflowsIn modern data pipelines, Excel files are still common data sources for various business processes. While PySpark excels (no pun intended)…4d ago24d ago2
How to Tune PySpark Executors and Memory for High-PerformanceIn the world of big data processing, speed and efficiency are essential. PySpark, a powerful data processing framework built on Apache…6d ago26d ago2
Tracking Data Lineage in PySpark DataFramesData lineage is an essential concept in the world of data engineering. It refers to the tracing and visualization of the flow of data as it…Feb 236Feb 236
Published inDev GeniusDynamic Schema Evolution in Pyspark DataframesIn the world of big data, dealing with changing data structures is a common challenge. Data sources evolve over time, often requiring…Feb 211Feb 211
Using ORC files in PysparkIn data engineering, choosing the right file format can significantly impact the efficiency, performance, and storage requirements of your…Feb 181Feb 181
