Spark is a unified analytics engine for large-scale data processing. It provides high-level APIs in Scala, Java, Python, and R, and an optimized engine that supports general computation graphs for data analysis. It also supports a rich set of higher-level tools including Spark SQL for SQL and DataFrames, MLlib for machine learning, GraphX for graph processing, and Structured Streaming for stream processing.
PySpark is most likely to appear on Ingeniero de datos job descriptions where we found it mentioned 4,7 percent of the time.
Feature Engineering for Time-Series Using PySpark on Databricks
Towards Data Science - Medium
Forging New Professional Identities: From Data, ML, AI, Product To Leader, Coach, Solopreneur…
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My First Billion (of Rows) in DuckDB
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Feature Engineering with Microsoft Fabric and Dataflow Gen2
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Feature Engineering with Microsoft Fabric and PySpark
Towards Data Science - Medium